The Complete Collection — Howard Marks

Source: Howard Marks — The Complete Collection (Oaktree Capital client memos, 1990–2025) Entity: howard-marks Format: 100+ individual memos written over 35 years. Organized thematically on this page. Reading progress: Complete. Pages 1-1641 fully read.


Overview

Howard Marks has written client memos for Oaktree Capital since 1990. Taken together they form one of the most coherent, consistent bodies of investment philosophy in existence. Marks calls it the "I don't know" school of investing: radical intellectual humility combined with rigorous attention to price, cycle position, and risk.

The memos are most valuable not as market calls (Marks rarely makes them) but as a framework for how to think about markets. The foundational ideas were all present by 1994; the next 30+ years refined and applied them to every major market event.


Core Framework

1. Cycles and The Pendulum

Markets oscillate between euphoria and depression. This is "one of the few constants." The pendulum swings through a midpoint (fair value) but spends most of its time at the extremes — and always eventually returns.

Introduced in "The Pendulum" (April 1991): "Trees don't grow to the sky, and few things go to zero."

Nine polar opposites the pendulum swings between ("It's All Good," Jul 2007): greed/fear · optimism/pessimism · risk tolerance/risk aversion · credence/skepticism · faith in future/insistence on present value · urgency to buy/panic to sell · euphoria/depression · overpriced/underpriced · celebrating positives/obsessing over negatives

Three stages of a bull market ("Who Knew?" Jan 1998):

  1. A few perceptive investors see recovery is possible
  2. Most investors see recovery is underway
  3. Everyone concludes things will only get better forever — this is when to sell

Three stages of a bear market (inverse; "The Tide Goes Out," Mar 2008):

  1. A few prudent investors recognize things won't always be rosy
  2. Most investors recognize things are deteriorating
  3. Everyone is convinced things can only get worse — this is when to buy

"Major bottoms occur when everyone forgets that the tide also comes in. Those are the times we live for."

Mujo / "It Is What It Is" (2006): Cyclicality is inevitable and permanent. The investor's job is to observe where the pendulum stands, not predict when it turns.

The Full/Empty Cycle: The same news is interpreted opposite ways depending on where the pendulum stands. In a full cycle (euphoria), any news confirms the bull; in an empty cycle (panic), any news confirms the bear. This psychological reality amplifies both extremes.

See ergodicity for the mathematical underpinning: path matters, not just expectation.


2. Second-Level Thinking and Contrarianism

First-level thinking: "This is a good company — buy it." Second-level thinking: "This is a good company, but everyone knows it, so the price already reflects that. At this price, it's a hold or sell."

The crowd cannot systematically outperform the crowd. To beat the market you must think differently and be right. A non-consensus forecast that turns out wrong just loses money faster.

Operationally: buy from depressed sellers; sell to euphoric buyers. "Buy from those who must, not those who want."

"Are You an Investor or a Speculator?" (Sep 1997): The true investor buys assets below intrinsic value and waits. The speculator buys hoping someone else will pay more.

The Unconventionality 2×2 Matrix ("Dare to Be Great," Sep 2006):

CorrectIncorrect
ConsensusAverage resultsAverage loss
Non-consensusSuperior resultsCatastrophic loss

To achieve superior performance you must hold non-consensus views. This requires agency risk: underperforming the consensus while awaiting vindication. Most institutional investors (committees, career-risk-aware managers) cannot tolerate this, creating a structural edge for those who can.

Barton Biggs / Irving Janis: Great calls are typically made by individuals, not committees. Committee processes suppress the contrarian insight that generates alpha.

Keynes: "Worldly wisdom teaches that it is better for reputation to fail conventionally than to succeed unconventionally."

"Being too far ahead of your time is indistinguishable from being wrong." ("Doesn't Make Sense," Jul 2008) — Chuck Prince's dilemma: correct long-term behavior (sitting out the CDO mania) would have been punished short-term by shareholders. "So being right isn't always enough when you run a public company. You have to be right in the short run."

Four common investor mistakes ("Dare to Be Great"):

  1. "No way" — refusing to consider scenarios that seem impossible
  2. "No sweat" — accepting too-good-to-be-true propositions without skepticism
  3. FOMO — moving in the direction others are moving to avoid looking wrong
  4. Over-reliance on models and ratings at the expense of judgment

3. Price vs. Value — The Central Insight

"What matters most is not what you invest in but when and at what price."

No security is so good it can't be overpriced. No security is so bad it can't be underpriced. "Any bond can be triple-A at a price." The investor must form an independent estimate of value, then buy only at a discount.

"Microeconomics 101" (1992): Price is not a signal of quality. The distressed debt market inverts the usual rule: the lowest-quality bonds often offer the highest risk-adjusted returns precisely because quality-oriented buyers flee them.

Perversity of Risk ("Everyone Knows," Apr 2007): "Investment risk resides most where it is least perceived, and vice versa." The universally beloved asset is invariably overpriced. The despised asset (Milken's high-yield bonds in 1978) is often the best risk-adjusted return. "There is no such thing as a good idea. Only a good idea at a price."

Consensus = already in the price. "What's clear to the broad consensus is almost always wrong" as a basis for action — because it's already priced in. The Nifty Fifty case study: 50 universally admired companies in the early 1970s, all of which proved wildly overvalued at peak.

See second-order-thinking for the thinking pattern required.


4. Risk Management: Avoid Losers First

"If we avoid the losers, the winners will take care of themselves."

Tom Kite metaphor ("How the Game Should Be Played," May 1995): Kite won more PGA Tour money than anyone despite never leading in any single stat — by eliminating mistakes.

Asymmetry: Superior investors lose less in down markets than they gain in up markets. Defense first.

Margin for error: "Expect that something will go wrong, because it will."


5. Risk ≠ Volatility — The Full Taxonomy

("Risk," Jan 2006) Marks' definitive treatment:

The academic definition (volatility = beta) is inadequate. Real investment risk has many forms:

  • Falling short of goals — the most fundamental risk
  • Underperformance risk — trailing the benchmark
  • Career/agency risk — managers losing jobs for being right too early
  • Concentration risk — too much in one position
  • Leverage risk — amplified outcomes and ruin possibility
  • Liquidity risk — inability to exit at a fair price
  • Forced-selling risk — margin calls, redemptions that force sales at worst moments

Key insight: Risk is invisible before the fact. You cannot look at a portfolio and know how risky it was — you must wait for outcomes. This is why risk management requires judgment, not models.

"Risk intelligence" — the ability to correctly gauge the risk of something no one has done before — is what distinguishes great investors.

Portfolio risk = individual risks + interaction effects + structural risk (leverage)

Risk comes from the combination of what you buy and how you finance it. Carlyle Capital Corp. (2008) invested in AAA-rated Freddie/Fannie paper at 31x leverage. A 3% price decline wiped out their equity. "Investment safety doesn't come from doing safe things, but from doing things safely."


6. Inefficient Markets: Where the Edge Lives

Efficient Market Hypothesis: prices reflect all available information. Marks' response: "efficient" means speedy, not right.

Where to hunt: Below investment grade, distressed debt, private credit, emerging markets, complex structures — anywhere the crowd is structurally absent or emotionally impaired.

"Unreliable Ratings" ("Doesn't Make Sense," Jul 2008): The issuer-pays model creates structural conflict. Ratings shopping — issuers describe a proposed issue to multiple agencies, then hire the one that gives the highest rating — means fees go to whoever is most permissive. The result: "managing a bond portfolio according to ratings would be somewhere between unavailing and disastrous. Profits are more likely to be found in gaming against the ratings."

A triple-A rating shouldn't just imply a low probability of default — it should imply a low probability of being blindsided. The GFC showed those are different things.


7. The Anti-Forecasting Stance

The macro future is unknowable. "Know the knowable — and that doesn't include the macro-future."

Galbraith: "There are two kinds of forecasters: those who don't know, and those who don't know they don't know."

Practical alternative: Rather than predicting, observe. Where are valuations? Where is sentiment? Where are we in the cycle? These are knowable.


8. Leverage Is Dynamite

"Volatility + leverage = dynamite."

"Risk in Today's Markets" (Feb/Apr 1994): Leverage doesn't change the expected return; it multiplies both gains and losses.

"Genius Isn't Enough" (Oct 1998) — LTCM post-mortem: 25x leverage; assets fell ~4%; equity wiped out. Seven lessons (see §5 above). "Two kinds of people lose money: those who know nothing and those who know everything."

"The Tide Goes Out" (Mar 2008) — deeper analysis:

  • Leverage magnifies losses as well as gains; "the more you bet, the more you win when you win... and the more you lose when you lose"
  • Leverage absolutely cannot be equated with alpha — it doesn't add value, it multiplies outcomes
  • Leverage carries an extra downside risk with no corresponding upside benefit: the risk of ruin (margin call → forced sale → meltdown)

"The New Paradigm" (Oct 2006): CDOs and CLOs represented "financial engineering displacing credit analysis." Ratings arbitrage: take low-rated collateral, slice and dice, produce securities with higher average ratings. Mechanical alchemy with no real economic content.


9. Psychology Dominates Fundamentals (Short-Term)

"Investing is a popularity contest — and the most dangerous thing is to buy something at the peak of its popularity."

"It's All Good" (Jul 2007) — the leverage bubble: Jeremy Grantham: the 2002-07 boom was a "leverage bubble," not an asset bubble. The economy grew modestly; what ballooned was financial sector activity. "It was optimism, risk tolerance, innovation, liquidity, leverage, credulity and the race to compete that reached multi-generational highs."

Financial innovation as cyclical symptom ("The Tide Goes Out," Mar 2008): Innovation flourishes in bull markets when optimistic investors dismiss failure scenarios. When bullish assumptions prove too rosy, the innovations contribute to the losses. Portfolio Insurance (1987): It didn't fail because Black Monday happened — it contributed to Black Monday's occurrence. The innovation caused its own undoing.

"Markets are dynamic, not static." No investment approach that becomes too well-accepted remains safe. "In fact, when an approach becomes too well accepted, the widespread reliance on it becomes a source of danger."

See illusions-of-competence for the epistemic trap this creates.


10. Virtuous Circle / Vicious Circle — Full Mechanism

("The Tide Goes Out," Mar 2008; "Now It's All Bad?" Sep 2007)

Virtuous (2002–2007):

  1. Equity capital flows to levered entities
  2. Debt readily available; entities grow leverage
  3. Combined capital purchases assets; prices rise
  4. Price appreciation expands equity faster than assets (leverage effect)
  5. Good performance reduces lenders' risk aversion; they extend more leverage per dollar of equity
  6. Risk premiums decline; leverage even more attractive
  7. Repeat until disconnected from reality

Vicious (2007–): exact reverse

  1. Asset prices weaken
  2. Leverage works in reverse; equity shrinks faster than assets
  3. Lenders demand collateral or refuse rollover; margin calls triggered
  4. Need to raise cash forces asset sales into inhospitable market
  5. More selling → more price weakness → more margin calls
  6. Equity investors withdraw; positive feedback becomes negative

"Unquestioning euphoria gives way to full-blown depression."

Mark-to-market accounting amplifies both circles — it's the "accelerant." In up cycles, rising asset prices expand balance sheets, enabling more lending. In down cycles, falling prices contract balance sheets, requiring writedowns. "An asset doesn't have 'a price.' It has many possible prices, and no one can say which is the right one."

Three mechanisms of contagion ("It's All Good...Really?" Jul 30, 2007):

  1. Fundamental — direct economic effects of defaults and writedowns
  2. Psychological — confidence collapse, sentiment contagion
  3. Technical — supply/demand for capital dries up; forced sellers dominate

11. "Should" ≠ "Will"

("The Tide Goes Out," Mar 2008)

Bruce Newberg: "Improbable things happen all the time, and things that are supposed to happen often fail to do so."

The GFC generated a series of "should have worked" failures: subprime defaults should have been independent → they weren't; auction rate notes should have reset → auctions attracted zero bidders; CDSs should have distributed risk → they concentrated counterparty risk.

"Investors mustn't fixate on what is supposed to happen to the exclusion of the other possibilities... and load up on risk and leverage to the point where negative outcomes will do them in."

Key question: "How much effort and capital should we devote to preparing for the improbable disaster?" — No right answer, only trade-offs.


12. "This Time It'll Be Different" — The Five Most Dangerous Words

"I feel cyclicality is one of the few constants."

"bubble.com" (Jan 2, 2000): Written at the exact dot-com top. Five lessons:

  1. Every "new era" claim is a rationalization for ignoring valuation
  2. Price matters regardless of business quality
  3. Competitive advantage erodes; market position at peak predicts nothing
  4. South Sea Bubble (1720) and RCA (1920s) are templates
  5. Future leaders are unknowable at the top

13. Forced Sellers and Liquidity Crises as Opportunity

Fire Sale Mechanism ("Now What?" Jan 2008):

  1. Take on short-term capital → invest in illiquid assets
  2. Experience price declines and writedowns
  3. Receive margin call or capital withdrawal notice
  4. Need to raise cash on a day of chaos
  5. Forced to sell at any price

Oaktree's distressed funds in 1990 and 2002 earned net IRRs in the 30s and 40s by being the patient buyer in fire sales. "The above results suggest we were aided in those funds by people who were willing to sell things far below their worth."

"Cash will be king" in post-bubble environments. During the boom, "too much money chasing too few deals" gave bargaining power to capital-takers. After the bust, "the period ahead, cash will be king" — suppliers of capital hold all cards.

See ergodicity for why surviving the crisis matters more than optimizing expected path.


14. The Credit Cycle

"Look around at every crisis and you'll find a lender."

"The Race to the Bottom" (Feb 2007): Money as commodity; "the deal goes to the person who gets least for his money." Gresham's Law in credit: bad lenders drive out good. Marks documented this watching UK mortgage standards collapse — Abbey raised its salary multiple to 5x, then 18 months later was the last to require any deposit. "Can there be a clearer example of the credit cycle at work?"

The subprime factory ("Whodunit," Feb 2008) — 7-party chain of moral hazard:

  1. Wall Street / investment bankers (CDO demand creation)
  2. Mortgage brokers (volume over creditworthiness; "we don't get paid unless we say YES")
  3. Appraisers (competitive pressure to inflate values; "guaranteed to appraise for more")
  4. Mortgage insurers (actuarial models based on inapplicable data)
  5. Mortgage borrowers (took on responsibilities they didn't understand or lied about)
  6. CDO managers (didn't vet independently; signed on to the "magical fee machine")
  7. Credit rating agencies (issuer-pays model; ratings-shopping; "a service business")

"Ratings arbitrage": Take low-rated assets, repackage into highly rated securities without adding value. The participants "took part in an activity we can call ratings arbitrage."

"People can't be counted on to do the right thing when they don't have anything at risk." (Nancy Marks)

"Most investment failures are preceded by a dearth of skepticism."


15. Information Is Not Knowledge

"He knows the price of everything and the value of nothing." — Oscar Wilde

The Quants Critique ("Whodunit," Feb 2008; "The Aviary," May 2008):

  • Quants "primarily extrapolate patterns that have held true in past markets. They can't predict changes in those patterns; they can't anticipate aberrant periods"
  • Ric Kayne: "99% of financial history has taken place within two standard deviations, but everything interesting has taken place outside of two standard deviations"
  • David Viniar (Goldman CFO): "we were seeing 25-standard-deviation moves, several days in a row" — "once-in-a-lifetime events" became common
  • VaR model: first nine years of adoption, predicted maximum loss never exceeded. In Q3 2007, exceeded on a quarter of all trading days

16. Hubris Is the Kill Shot

"The bigger the question, the less we can know."

Three case studies: LTCM, Enron, Dot-com.

Pattern: competence + success → overconfidence → removal of safeguards → catastrophe.

"Nobody Knows" (Sep 2008): At the height of the GFC — Lehman, AIG, Bear Stearns — Marks' position: "My answer is simple: we have no choice but to assume that this isn't the end, but just another cycle to take advantage of." The things you would do to gird for total system collapse would be disastrous if the outcome is anything less.

Event snippet — Lehman/AIG panic and the third stage of the bear market (Sep 19, 2008): Marks asks what can actually be done if the "end of the world" arrives and concludes there is no useful portfolio plan for total collapse. If the binary choice is "world ends" or "world continues," investors have to act on the latter assumption. The market context: Lehman had failed, AIG had required rescue, financial institutions were opaque and levered, and no one could identify what would interrupt the vicious circle. Marks maps the moment onto his bear-market framework: we were not necessarily at the bottom, but many financial institutions had entered the third stage, where everyone was convinced things could only get worse. That is when pessimism is fully priced and bargains can be found among "babies thrown out with the bath water."

"Plan B" (Oct 15, 2008): Triggered by TARP and the proposed $700B purchase of toxic mortgage assets. Marks frames the event as a crisis of belief: credit comes from the Latin credere — to believe or trust. Economies run on credit, and credit runs on trust in borrowers, contracts, money, banks, and counterparties. The GFC was a collapse in belief caused by (1) opaque, overleveraged mortgage-backed securities and (2) the vast CDS daisy chain, where the value of insurance depended on counterparties being able to pay. Plan B was not just a bailout; it was an attempt to stop belief from collapsing.

Key framework extracted:

  • Financial institutions are uniquely confidence-sensitive because they combine opacity, leverage, conscious risk-taking, short-term funding, and long-term illiquid assets.
  • Runs are reflexive: withdrawal pressure forces asset sales, sales push prices down, lower prices worsen solvency, and worse solvency deepens withdrawal pressure.
  • The post-crisis financial sector would be smaller, less levered, less profitable, slower-growing, more regulated, and less glamorous. But failure carries the seeds of success: independent boutiques and new entrants can grow from the ashes.
  • Skepticism must be symmetric. In bubbles, skepticism means doubting optimism. In panics, skepticism means doubting universal pessimism. Pessimism and skepticism are not the same thing.
  • The formula for buying in collapse: estimate intrinsic value, recognize price below value, buy, average down if price falls further, and be right about value. Acumen and resolve are both required.

17. The "I Don't Know" School — Full Taxonomy

("Us and Them," 2004):

"I Know" School"I Don't Know" School
Future is knowableFuture is uncertain
Macro forecasting valuableMacro forecasting unreliable
Single scenario planningRange of outcomes
Leverage safe if EV positiveLeverage dangerous; tails kill
Concentration in best ideasDiversification to survive outliers
Fully invested alwaysMaintain dry powder
Maximum IRR is the goalSurvival + return

"Two kinds of people lose money: those who know nothing and those who know everything."


18. The Realist's Creed (2002)

Marks' own synthesis after 33 years:

  1. Contrarianism — buy what's unpopular, sell what's popular
  2. Skepticism — doubt consensus views, especially optimistic ones
  3. Modest expectations — calibrate to the environment
  4. Humility — know what you don't know; plan for error
  5. Defensive investing — survival first, returns second
  6. Patience — wait for the fat pitch

19. "There They Go Again" — 12 Recurring Investor Fallacies

("There They Go Again," Apr 2005):

  1. The new era argument — history doesn't apply this time
  2. Ignoring valuation in favor of growth narrative
  3. Treating low volatility as proof of safety
  4. Assuming liquidity in good times equals liquidity generally
  5. Assuming leverage is safe when EV is positive
  6. Extrapolating recent default rates as permanent norms
  7. Treating ratings as guarantees rather than opinions
  8. Confusing correlated assets with diversified ones
  9. Believing financial innovation eliminates risk
  10. Believing that if everyone is doing it, it must be okay
  11. Treating "unlikely" as synonymous with "impossible"
  12. Mistaking a rising tide for investment skill

20. 12 Lessons of Every Credit Crisis

("No Different This Time — The Lessons of '07," Dec 17, 2007):

  1. Too much capital flows to wrong places
  2. When capital goes where it shouldn't, bad things happen
  3. Capital oversupply → investors accept lower returns and thinner margins
  4. Widespread disregard for risk creates great risk
  5. Inadequate due diligence leads to losses
  6. Heady times → innovative investments fail the test of time
  7. Hidden fault lines cause seemingly unrelated assets to move in tandem
  8. Psychological and technical factors can swamp fundamentals
  9. Markets change, invalidating models
  10. Leverage magnifies outcomes but doesn't add value
  11. Excesses correct
  12. Investment survival must be achieved in the short run, not on average — "the six-foot-tall man who drowned crossing the stream that was five feet deep on average"

21. 7 Reasons Risk Is Hard to Manage

("No Different This Time," Dec 17, 2007):

  1. Risk exists only in the future — you can only estimate it
  2. Decisions are based on normal patterns, which may not persist
  3. Projections cluster around historic norms; systematically underestimate tails
  4. "Worst case" assumptions are never negative enough
  5. Risk shows up lumpily — rare but catastrophic, not smoothly distributed
  6. People overestimate their ability to gauge novel risks
  7. Most people view risk-taking as the way to make money, not as a cost

"What investors must learn — but most will not — is there's no easy answer, surefire tool or silver bullet."


22. The Forest Fire Analogy (Moral Hazard)

("Doesn't Make Sense," Jul 2008)

The Fed's policy of intervening to prevent every financial crisis created moral hazard — analogous to the Forest Service extinguishing every small wildfire. Small fires clear brush; without them, fuel accumulates until a catastrophic blaze becomes inevitable.

"Good business decisions can be made only if the hope for gain is balanced by the fear of loss. The latter must not be eliminated. The system must be allowed to work."

"Cycles will cease to occur only when human emotion and the pursuit of profit no longer go to extremes. Neither government intervention nor the free market will ever produce that result." ("The Aviary," May 2008)


23. Short-Termism as Structural Problem

("Doesn't Make Sense," Jul 2008)

"Of the two things I think are most wrong about American business, the worst is short-termism." Companies and managers are rewarded for short-term success and penalized for short-term failure.

The phrases that have fallen out of use: "fiduciary duty," "preservation of capital," "dividend yield," "long-term investor."


Key Memos by Year

Incremental Memo/Event Notes

Pages 591-610 — Leverage Post-Mortem and the Long View

"Volatility + Leverage = Dynamite" (late 2008).

Event context: Written after the acute phase of the credit crisis exposed how banks, investment banks, insurers, hedge funds, CDOs, and CDS counterparties had all built financial structures around assets treated as much safer than they were. Marks revisits a formula he first wrote in 1994 and used again in the LTCM post-mortem: leverage is not dangerous in isolation; it becomes catastrophic when paired with assets whose risk and volatility are underestimated.

Core mechanism: appropriate leverage is a function of asset stability. Stable cash flows can support more debt; volatile or hard-to-value assets require far less. The GFC happened because institutions applied utility-style leverage to mortgage securities, CDOs, CDS books, and housing collateral whose downside was neither stable nor well understood.

Important detail: Marks distinguishes asset risk from financing risk. Even if losses are not permanent, volatility can create ruin when lenders cut credit, investors redeem, margin calls arrive, or mark-to-market losses force sale before value can recover. This is the concrete bridge between his ergodicity theme and the credit crisis.

Mortgage-specific lesson: houses and commodities lack the same intrinsic-value anchor as cash-flow-producing businesses. A home is worth what someone will pay at that moment; a mortgage backed by 100% financing in a soaring market is closer to an option on continued appreciation than a genuinely secured loan. The "alchemy" of structuring turned weak collateral into securities rated far above the collateral's true quality.

"The Long View" (early 2009, begins in this batch).

Event context: With the crisis fully visible, Marks steps back from short-term cycles and asks whether the apparent postwar secular uptrend in American finance was itself the positive phase of a much longer cycle. The memo reframes the GFC not as an isolated accident but as the reversal of decades of increasing willingness.

Framework extracted — the era of increasing willingness: over several decades, investors, consumers, businesses, financial institutions, governments, and endowments all became more willing to borrow, trust models, accept complexity, forgo liquidity, rely on financial engineering, and accept shrinking risk premiums. The crisis was the negative phase of that accumulated willingness.

Expansiveness: Marks' label for increasing the ratio of activity to capital. In plain English: more leverage everywhere. Consumers moved from cash/checks to credit-card balances; homeowners moved from 20% down and mortgage-burning parties to 100% financing and serial refinancing; corporations substituted debt for equity; financial institutions shifted from agency businesses to proprietary risk-taking; governments normalized deficit spending; investors gained "leverage inside" products; institutions used portable alpha and overcommitment.

Old Marks adage re-applied: "What the wise man does in the beginning, the fool does in the end." Early uses of leverage and innovation may be intelligent; late-cycle mass adoption turns them into systemic fragility.

Pages 611-630 — "The Long View" Completed

Event context: March 2009, after the GFC had moved from Wall Street crisis to real-economy damage. Markets had seen forced deleveraging, bank rescues, collapsing home prices, a credibility crisis in equities, the Madoff fraud, and a deep freeze in capital markets. Marks steps back from the immediate crisis and asks whether the whole postwar financial era should be interpreted as a long cycle that had finally reversed.

Debt-deflation mechanism: Marks cites Irving Fisher's 1933 debt-deflation theory: over-investment and speculation are far more destructive when financed with borrowed money. Borrowed money lets economic units expand the scale of activity, but it does not add value; it only magnifies both outcomes. Jim Grant's phrase "money of the mind" captures liquidity and leverage: both depend on lenders' moods and can vanish when confidence changes.

Three facts about debt:

  1. All businesses borrow; debt is normal and often productive.
  2. Debt is rarely repaid; it is usually rolled over, making solvency dependent on continued credit availability.
  3. Short-term borrowing is cheapest, so actors borrow short against long-term needs, maximizing economics in good times and creating rollover disaster in bad times.

Equities as non-magical: Marks attacks the cult of equities. Stocks are not inherently superior; they are structurally junior claims that can do well or poorly depending on price. The right question in 1999 was not "what have stocks returned historically?" but "what have stocks returned when bought at a 29x P/E?" Equities' higher historic returns are compensation for inferior status and greater volatility, not a free lunch.

Historical rhyming: The 2008 crisis rhymed with the 1920s via deregulation, easy access to risk, derivatives/bucket-shop analogues, and fraud. The Madoff scandal is treated as a classic late-cycle artifact: bubbles create demand for impossible steadiness, and redemptions expose falsehood.

The three repair jobs after the crisis:

  1. The economy and its actors have to delever.
  2. The destruction of capital has to be absorbed.
  3. Confidence has to be restored.

Investment implication: At this point in the cycle, decisions should emphasize value, survivability, and staying power. Marks repeats the trade-off: assuring survival in bad times is inconsistent with maximizing returns in good times. Oaktree willingly cedes the part of the return distribution between "solid" and "maximum" in exchange for durability.

Pages 631-650 — "So Much That's False and Nutty" / "Touchstones" Start

"So Much That's False and Nutty" (July 8, 2009).

Event context: Written after the acute crisis but before a durable recovery was clear. Buffett had said there was "so much that's false and nutty in modern investing practice and modern investment banking." Marks uses that line to inventory the practices that made the crisis possible and to separate genuine investment progress from fashionable nonsense.

Modern-investing progression: Marks walks from the old bank/insurance/investment-counselor world into growth investing, boutiques, MPT, options, Black-Scholes, high yield, securitization, portfolio insurance, LBOs, distressed debt, emerging markets, quant investing, dot-coms, hedge funds, portable alpha, private equity, CDOs, CLOs, derivatives, incentive compensation, and VaR. The point is not that every innovation was bad; it is that each added a new tool that could be overused when skepticism disappeared.

Democratization of investing: Popularizing investing may look like progress, but it can be dangerous when people conclude that specialized judgment is easy. Marks points to stock-market media, star managers, and books like Stocks for the Long Run: the evidence may be true over 30-year windows, but real investors have finite horizons and can suffer badly over 10-year periods.

Risk tolerance is anti-investment: Risk taking is necessary for return, but risk tolerance is not inherently good. When investors are not afraid of risk, they accept it without adequate compensation. Risk premiums disappear precisely when they are most needed. In Marks' formulation: there are few things as risky as the widespread belief that there is no risk.

Illiquidity is not automatically a gift: Long-term investors can harvest illiquidity premiums only if the premium still exists. If every endowment piles into private equity, real estate, natural resources, and locked-up vehicles, illiquidity stops being well compensated and becomes another hidden fragility. The repeated lesson: things that should happen often fail to happen.

Complexity as seduction: Quant models, portable alpha, black boxes, structured products, and risk tools created false precision. Buffett's test appears here: if you need a computer or calculator to know whether to buy it, maybe you should not buy it. Complexity does not eliminate risk; it often hides it until the bear market supplies the test.

Reflexivity (Soros): Markets are not static arenas. Investor behavior changes the fundamentals it is trying to discount. The belief that geographically diversified mortgages were safe created demand for RMBS/CDOs; that demand weakened lending standards; weaker lending standards made nationwide housing decline possible; the belief that the asset was safe helped make it unsafe.

Bubble principle: No investment is good regardless of price. Bubble thinking starts when a plausible story ("Internet will change the world," "home prices cannot fall nationally," "alternatives solve portfolio goals") becomes so socially accepted that buyers stop asking what price already reflects.

"Touchstones" (Sep 2009, begins in this batch).

Event context: Two years after the crisis began, Marks starts collecting the quotations and images that best explain what happened. The first touchstone: free markets need fear of loss. Greed motivates useful economic activity, but if society will not tolerate the pain of institutional failure, then self-interest must be restrained. Too-big-to-fail and free-market purity cannot comfortably coexist.

Pages 651-670 — "Touchstones" Completed and Post-Rebound Caution

"Touchstones" continued (Sep 2009).

Event context: Marks is now distilling the crisis into reusable mental anchors. This batch contains several of the most portable ones.

Risk means more things can happen than will happen: Marks uses Elroy Dimson's line to sharpen the "I don't know" school. The future is not a point estimate; it is a range of possible outcomes, including some that cannot be imagined beforehand. Investors who think they know the future concentrate, lever, and maximize. Investors who accept uncertainty diversify, hedge, stay higher in the capital structure, use less leverage, emphasize present value, and preserve margin for error.

Six-foot man / five-foot stream: Survival cannot be achieved "on average." A portfolio has to survive the deep spots. This is why leverage is especially dangerous: money-good loans can still ruin levered holders if interim prices fall and financing disappears.

Chuck Prince and forced participation: His "we're still dancing" quote is treated less as idiocy than as a structural business dilemma. Leaders can see danger but still participate because refusing to keep up can cost market share, clients, status, or jobs. This connects directly to Marks' old line: being too far ahead of your time is indistinguishable from being wrong.

Two investor fears: investors swing between fear of losing money and fear of missing out. In 2003-07, the dominant fear was missing gains; by late 2008, the dominant fear was loss. The position of that emotional pendulum tells you more than most forecasts.

Opposite of a bubble: Arthur Pigou's line becomes another touchstone: the error of optimism dies in crisis, but in dying gives birth to an error of pessimism. Pessimism arrives "born a giant." Good contrarianism requires doubting optimism at the top and doubting pessimism at the bottom.

Countercyclical behavior beats ordinary allocation: Over 3-5 year market swings, the pivotal question is not only what you owned, but whether you bought more near the bottom or near the top. Marks elevates anti-cyclical behavior to a candidate for the most important investment skill.

January 22, 2010 caution memo.

Event context: After the powerful 2009 rebound, many asset classes had recovered dramatically. Marks argues that the easy money had already been made by those with capital and courage at the late-2008/early-2009 lows. The next phase would require discernment, discipline, and margin for error.

Macro worries: weak job creation, damaged consumer balance sheets, lower manufacturing share, global competitiveness pressure, possible dollar weakness/inflation/interest-rate risk, government deficits, and anti-business populism. Marks is not forecasting disaster; he is saying the left tail is fatter than prices may imply.

Practical distinction: Saying "I worry about inflation" is almost meaningless unless one is willing to allocate enough capital to matter. A 5-15% hedge is close to doing nothing. Conviction only matters when it changes portfolio construction meaningfully.

Investment implication: assets were no longer giveaway cheap, nor clearly overvalued — closer to fair. With price and value roughly balanced, future returns would depend on unpredictable fundamentals. Thus caution, selection, risk consciousness, and margin for error replace the 2009 requirement: guts.

Pages 671-690 — Political Gridlock, Warning Flags, and Greece

"I'd Rather Be Wrong" (Mar 17, 2010).

Event context: U.S. deficits, national debt, healthcare costs, Social Security, Medicare, and state/local pension obligations were worsening after the GFC. Marks focuses less on finance than governance: the problems are long-term, the remedies painful in the short term, and politicians are structurally rewarded for avoiding pain before elections.

Framework extracted: democracies can be bad at solving long-term compounding problems when costs are immediate and benefits arrive after current officials leave. The investment relevance is indirect but important: deficits, unfunded promises, and political gridlock become macro risks because no actor has sufficient incentive to pay the price early.

"Warning Flags" (May 12, 2010).

Event context: The 2009 recovery had revived investors' risk appetite surprisingly quickly. High yield issuance, risk-taking, and transaction terms were moving back toward pre-crisis behavior only months after the panic.

Two risks: Marks formalizes the twin-risk framework:

  1. Risk of losing money
  2. Risk of missing opportunity

Investors rarely balance them correctly. In bull markets, they over-focus on missing out and underweight loss. In bear markets, they over-focus on loss and miss bargains. This is a clean behavioral expression of the pendulum.

Greece as "something else": Marks notes that his January worry list did not include Greece. That proves the point: surprises are, by definition, not on the list. The fact that we do not know where trouble will come from should not make us comfortable when prices are full.

"It's Greek to Me" (June 2010, begins in this batch).

Event context: Greece's debt crisis had widened into concern about the PIIGS and the eurozone architecture. Marks uses Europe to examine what happens when a shared currency/credit umbrella joins countries with different fiscal cultures, discipline, productivity, demographics, and political constraints.

Credit-card analogy: If disciplined borrowers and an undisciplined borrower share one credit card, the undisciplined member can borrow at rates made possible by the stronger members' credit. When the debt becomes unsustainable, the disciplined members are pressured to help pay. This is Greece inside the eurozone.

Sovereign-credit lesson: The deficit/debt numbers are symptoms. The deeper issue is structural: slow growth, generous benefits, aging populations, early retirement, weak competitiveness, artificially low borrowing costs, and rules that were not enforced. Sovereign crises are credit crises with politics layered on top.

Pages 691-710 — Greece Completed and Investment Fashion Cycles

"It's Greek to Me" continued.

Event context: The Greek crisis widens from a country story into a eurozone architecture story. Marks emphasizes that Greece's flaws were not new; markets simply decided to focus on them. This is another version of the full/empty cycle: the same facts can be ignored in one mood and treated as fatal in another.

Debt as facilitator: Debt was not the root problem, but it enabled the problem to grow. Without easy borrowing, Greece could only have paid benefits it could afford, and Spain could not have overbuilt millions of homes. Credit lets actors live beyond output for a while, but it also makes the eventual adjustment larger.

No devaluation valve: A sovereign with its own currency can solve foreign-debt pressure through explicit devaluation or inflation. Greece inside the euro lacked that outlet. It had austerity and rescue packages, but not independent currency adjustment. That makes the crisis harder because competitiveness has to be restored through painful internal adjustment rather than exchange-rate movement.

European repair recipe: Same as the U.S. GFC recipe: delever, replace destroyed capital, restore confidence. Difference: Europe had to coordinate across many sovereigns with different politics, histories, fiscal positions, and incentives. Marks' conclusion: sovereign-credit analysis is partly economic, but largely political.

Mirror to the U.S.: Marks ends by turning the lens back onto America. Bernanke was warning Congress about a structural budget gap, health-care costs, and long-term fiscal unsustainability. Greece was the immediate case study; the U.S. had analogous long-term problems on a larger balance sheet.

Stocks/Bonds fashion-cycle memo begins (2010).

Event context: After the crisis, investors were fleeing stocks and pouring money into bonds. Marks interprets this not as a purely rational allocation shift, but as another recurring fashion cycle.

Hemline analogy: Investment styles move like clothing hemlines: an idea is discovered, early gains attract attention, popularity rises, valuation moves from cheap to fair to expensive, eventually everyone is converted, and with no marginal buyer left the bubble is ready to burst. Then the process reverses.

Stocks history: Stocks were once viewed as speculative junior claims that had to offer higher yields than bonds. Postwar prosperity and brokerage popularization lifted equities into favor, then growth-stock mania and the Nifty Fifty took prices to extreme P/Es. The 1970s broke the spell, then 1979-1999 created the cult of equities again.

Critical question: In the late 1990s, the right question was not "what have stocks returned historically?" but "what have stocks returned when bought at 33x earnings?" High past returns are not a reason to expect high future returns; often they mean returns have been borrowed from the future.

Bonds re-enter fashion: Bonds were neglected for decades because equities dominated, then the GFC revealed their stabilizing role. Investors began fleeing stocks and buying bonds after bonds had already protected portfolios. This is classic rear-view-mirror allocation.

Pages 711-730 — At What Price, Open/Shut Credit, and Gold

Stocks/Bonds fashion-cycle memo completed (Sep 10, 2010).

Event context: Retail and institutional investors were fleeing stocks after a lost decade and crowding into bonds after bonds had protected portfolios in the GFC. Treasurys and high-grade bonds had become fashionable just as yields fell to extremely low levels.

At what price? Marks repeats his deepest rule: there is no good or bad asset class in isolation. Anything can be good at one price and bad at another. The relevant question is not "stocks or bonds?" but "which security is priced right for the range of possible outcomes?"

Bond caution: A 2.5% 10-year Treasury works beautifully if deflation or severe weakness arrives, but can produce poor real returns if inflation or stronger growth appears. The safety of the instrument can be undone by the richness of the price.

Equity reconsideration: With companies holding large cash balances, P/Es below postwar averages, and free cash flow yields meaningful relative to bond yields, Marks argues that high-quality large-cap stocks may offer better scenario-weighted returns than rich bonds. Again: not because stocks are inherently better, but because relative pricing had shifted.

"Open and Shut" (2010, begins in this batch).

Event context: After the crisis and rebound, Marks recycles earlier memos to explain the credit cycle in current conditions. The credit window opens wide, then slams shut. It is more volatile than the economy and often more important for markets.

Credit-cycle mechanism: prosperity → capital providers thrive → bad news scarce → risk aversion disappears → institutions compete to lend → returns demanded fall → standards weaken → covenants ease → losses eventually appear → lenders retreat → capital starves borrowers → defaults rise → the cycle reverses when few lenders remain and high returns can be demanded.

"All That Glitters" / gold memo begins (late 2010).

Event context: Gold had surged after the crisis amid fears about inflation, sovereign debt, fiat currencies, and policy uncertainty. Clients around the world were asking about gold more than ever.

Marks' problem with gold: gold produces no cash flow, so there is no analytical anchor for valuation. With cash-flow-producing assets, one can compare yield, P/E, cap rate, and interest rates. With gold, price rests on what others will impute to it.

Gold and fiat symmetry: Marks is skeptical of gold's intrinsic value, but admits fiat currencies have a similar issue: the dollar also has value because people agree it does. The question becomes Keynes' beauty-contest problem: not what gold is worth intrinsically, but what people will believe others will believe about gold.

Key distinction: Marks does not say gold cannot rise. He says intelligent investing requires a way to compare price to value, and gold makes that unusually difficult.

Pages 731-750 — Gold Completed, Regulation, and "Handcuff Volunteers"

Gold memo completed (Dec 17, 2010).

Event context: Quantitative easing, sovereign-debt fears, reserve-currency doubts, and global uncertainty had pushed investors toward gold. China was importing large quantities, ETFs made gold easier to own, and low interest rates reduced the opportunity cost of owning a non-income-producing asset.

Reserve-currency angle: Gold becomes attractive by elimination. If the dollar, euro, sterling, and yen all have issues, and the renminbi is not freely exchangeable, gold becomes a reference point. But Marks keeps returning to price: no one can say whether today's price already discounts every problem with fiat currency and every virtue of gold.

Bottom line: Marks moves from indifference to agnosticism. Gold may keep "working" because it has worked for centuries, and it may help diversify against unknowns, but he still does not view it as analyzable in the same way as cash-flow assets.

"On Regulation" (2011).

Event context: The Financial Crisis Inquiry Commission had revived the debate over deregulation's role in the GFC and the need for future regulation. Marks uses his pendulum model on regulation itself.

Regulatory pendulum: crashes and scandals create demand for regulation; regulation curbs excesses; calm returns; memories fade; free-market voices argue deregulation will improve growth; deregulation permits new excesses; crashes return; regulation comes back. Neither pure free markets nor total regulation is a permanent solution.

Dual failure: free markets cannot be trusted completely because greed, self-interest, and risk-taking can exceed social limits. Regulation cannot be trusted completely because rules lag innovation, can be gamed, and regulators rarely foresee the next failure. The practical answer is not purity; it is humility about both systems.

"Open and Shut" / current market conditions (2011).

Event context: By 2011, crisis trauma had faded faster than Marks expected. Low rates and central-bank liquidity pushed investors back into high yield, private equity, hedge funds, leveraged loans, and covenant-lite issuance.

Handcuff volunteers: investors were taking risk not necessarily from euphoria, but because they felt forced. Pension funds and endowments could not meet 8% targets with cash, Treasurys, or high-grade bonds. They moved into riskier assets because the safe side of the capital market line was too low.

Cheapness as the single key: When asked for the secret to risk control, Marks says the closest thing is cheapness: buying below conservatively estimated intrinsic value. Cheapness is created by other people's fear, forced selling, neglect, or unwillingness. When others are unafraid, cheapness disappears and prudence should rise.

2011 environment: not a full bubble, but "fair to full." Risk-taking had returned, yields were low, spreads roughly normal, and investors were again accepting more risk to reach return targets. This called for watchfulness rather than panic.

Pages 751-770 — Low-Return World and U.S. Debt Follies

"Open and Shut" completed (May 25, 2011).

Event context: The 2008 panic had been brief, the 2009 rebound dramatic, and by 2011 investors had been pushed back into risk assets by near-zero rates. The memo asks what prudent behavior looks like when most prospective returns are low.

Too much money chasing too few deals: Marks restates the mechanism: when capital flows disproportionately into smaller risky markets, prices rise, terms weaken, and risks increase. The 2009-2011 recovery in credit was self-reinforcing: demand reopened capital markets, refinancing reduced defaults, falling defaults improved psychology, improved psychology attracted more demand.

Low-return world choices:

  1. Go to cash — usually not practical.
  2. Accept low returns and pursue the best relative returns.
  3. Buy for the long run while ignoring elevated prices.
  4. Reach for return by taking more risk.
  5. Concentrate in special niches and special people.

Marks views reaching for return as the most flawed response, especially when it is unconscious. Peter Bernstein's line captures the constraint: the market is not an accommodating machine; it will not provide high returns just because investors need them.

Right tools depend on cycle position: In late 2008 and early 2009, money and nerve were enough. In 2006-07, money and nerve were disastrous. By 2011, with prices fair-to-full and behavior more aggressive, the right tools were again caution, risk control, discipline, and selectivity.

"Down to the Wire" (July 21, 2011).

Event context: The U.S. debt-ceiling fight created a deadline-driven crisis around a largely artificial constraint. The core issue was not only the ceiling itself but the growth of government debt, entitlement obligations, and political inability to compromise.

Debt rollover culture: Marks extends the same debt analysis from consumers and corporations to governments. Modern debt is rarely extinguished; it is rolled over and added to. Creditors focus on interest service and market access, not principal repayment. This works until confidence or rollover capacity fails.

Stopgap solutions: Marks expected a short-term compromise but little fundamental repair. The likely outcome: kick the can down the road, create another commission, avoid serious tax/spending trade-offs, and preserve recurrence risk.

"What's Behind the Downturn?" begins (Aug 2011).

Event context: Markets sold off violently after the debt-ceiling fight, S&P's U.S. downgrade, renewed European worries, double-dip fears, and China/emerging-market concerns. Marks emphasizes confluence: markets can handle one problem, but simultaneous negatives create chaotic feedback.

U.S. downgrade nuance: The U.S. could print the reserve currency, so default in nominal terms was unlikely. But the downgrade still mattered because it questioned governance quality, fiscal trajectory, and the assumption that Treasurys were absolutely riskless. A debtor can "meet commitments" by paying in debased currency, which is not the same as preserving purchasing power.

Pages 771-790 — Downgrade Paradox and Tax/Fiscal Tradeoffs

"What's Behind the Downturn?" completed (Sep 7, 2011).

Event context: S&P downgraded U.S. debt, Europe remained unsettled, recession fears rose, and emerging-market certainty weakened. The supposedly obvious market reaction to a U.S. downgrade was higher Treasury yields. Instead, investors bought Treasurys and yields fell below 2%.

Downgrade paradox: The downgrade made people more worried about world risk, so they ran into the very securities that had been downgraded. Marks treats this as a clean reminder that simple causal links in markets often fail. The expected reaction was logical; the actual reaction reflected psychology, relative safety, and lack of alternatives.

Europe as creditor/borrower mirror: Strong European nations did not share the exact debt problem of the periphery; their problem was receivables. Their banks and capital providers were owed money by weaker borrowers. In sovereign crises, one country's liability is another country's asset. The question becomes who bears losses, who supplies capital, and whether the political system can coordinate repair.

Confidence as economic engine: Marks again emphasizes confidence. If households, businesses, and investors believe the future is stable, they spend and invest; if not, they pull back and help create the weakness they fear. This is another reflexive loop.

Emerging markets: The issue was not that China/India/emerging markets lacked strong long-term prospects. The issue was that markets had priced them as flawless. Even favorable fundamentals can produce losses if expectations are too high.

Practical conclusion: After the selloff, assets were cheaper and high yield spreads had widened meaningfully. Marks would be a better buyer, but in moderation: bargains had improved, yet fundamentals still carried real threats. This is classic Marks — not "all in," not "all out," but adjusting posture as price changes.

"It's All Very Taxing" begins (late 2011).

Event context: After the debt-ceiling fight, the U.S. created a supercommittee to address deficits. The memo examines taxes, fairness, deductions, incentives, and the difficulty of deficit repair.

Fairness is elusive: Mortgage interest deductions, charitable deductions, state/local tax deductions, municipal-bond exemptions, employer healthcare exclusions, and pension tax deferral can all be framed as fair incentives or unfair subsidies depending on perspective. The same provision can be a deduction, loophole, or incentive depending on who is talking.

Tax debate structure: Arguments for higher taxes include redistribution, shared sacrifice, practical deficit reduction, and honoring entitlement promises. Arguments against include "starve the beast," work-incentive effects, Laffer-curve reasoning, and Keynesian concern about tightening during weakness. Marks is not resolving the ideology; he is mapping why compromise is hard.

Income inequality: Rising after-tax income dispersion makes upper earners politically attractive targets. Tax policy both reflects and shapes the distributional argument.

Pages 791-810 — Austerity, Tax Politics, and Penn's Endowment Case Study

"It's All Very Taxing" completed (Nov 16, 2011).

Event context: The U.S. was still dealing with post-GFC deficits, high unemployment, entitlement promises, and the political aftershock of the debt-ceiling fight. Europe was already being pushed toward austerity, and the U.S. debate had become a contest between fiscal repair, growth protection, and distributional politics.

Austerity trade-off: Spending less and taxing more can improve a budget on paper, but it can also reduce incomes, consumption, business confidence, and tax receipts. Marks frames deficit repair as a problem with no painless answer: promises must be scaled back, taxes must rise, deficits must increase, or some mixture of the three must occur.

Flat tax and simple-solution risk: The flat-tax debate illustrates one of Marks' recurring patterns: when problems are complex, people welcome simple answers. But lower rates, fewer deductions, sales taxes, and progressivity changes all shift burdens between groups. The simplicity is real; the distributional trade-off does not disappear.

Political economy warning: Marks' deepest concern is not just tax rates but whether aspiration survives. If people without wealth believe they can become wealthy, low taxes and enterprise retain broad support. If they conclude upward mobility is blocked, democracy can become a mechanism for confiscating from the minority. The memo is really about the institutional psychology that supports capitalism.

"What Can We Do For You?" (Jan 10, 2012).

Event context: After the 2011 selloff, European crisis, U.S. downgrade, and slow-growth recovery, clients naturally wanted managers to predict macro outcomes and navigate perfectly. Marks restates Oaktree's "I don't know" school in client-service form.

Manager humility: Oaktree cannot forecast economies, markets, winning asset classes, or the best individual securities in advance. The practical implication is behavioral: diversify, avoid aggressive timing, avoid excessive leverage, and focus effort where skill can matter.

Offense/defense decision: The memo reduces portfolio stance to three questions: How bad is the outlook? Are asset prices low enough to compensate? What attributes are right today: money and nerve, or caution and selectivity? In 2012, Marks sees a mixed answer: macro risks are large, but valuations and investor sentiment are not euphoric. That calls for balance, not extreme offense or extreme defense.

"Assessing Performance Records - A Case Study" begins (2012).

Event context: Marks uses his decade chairing Penn's Investment Board (FY2001-2010) to examine performance evaluation after a decade containing both the dot-com bust and the GFC.

Client expectations matter: A manager's job is not just to make money in the abstract but to deliver a performance pattern clients can live with. Penn's strong absolute returns in the late 1990s still disappointed because peers with tech, growth, buyout, and venture exposure did better. Relative performance can force change even when absolute performance looks good.

Principle vs. price: Penn needed broader diversification in principle, but the missing assets were expensive after years of outperformance. Marks refused to "jump on the bandwagon just in time to ride it over the cliff." This is the same price-vs-value rule applied to institutional asset allocation.

Offense vs. defense at Penn: Penn was under-endowed, which created a real dilemma: invest defensively because losses would hurt, or aggressively to close the gap. Marks chose gradual diversification, risk-control-oriented managers, liquid assets, and enough cash/Treasurys to avoid forced selling in a downturn.

Pages 811-830 — Penn Completed and Active Management as Error Detection

"Assessing Performance Records - A Case Study" completed (Feb 15, 2012).

Event context: The GFC exposed the real-world consequences of endowment portfolio construction. Peer universities with more illiquidity, leverage, and aggressive alternative exposure suffered deeper FY2009 losses, operational cuts, capital calls, asset sales, and taxable borrowing. Penn's more defensive structure lost less and preserved institutional freedom.

Risk made concrete: Marks uses Penn to restate that risk is not an abstract volatility statistic. It is what happens to the owner of capital when losses arrive: hiring freezes, reduced student aid, canceled construction, forced sales, or loss of strategic flexibility. Penn's liquidity allowed it to keep operating and even buy adjacent property during the crisis.

Performance records depend on timing: A ten-year record can look excellent or ordinary depending on start and end dates. Marks' Penn tenure looked better because it included FY2009, when defense paid off dramatically. If the same policy had started two years earlier and omitted FY2009, perceptions would have differed. This is a practical application of Taleb's alternative histories: judge decisions against what could reasonably have happened, not only what did happen.

Lucky or good: Marks concludes defensiveness was appropriate for Penn, but insists on the uncomfortable question: was the policy right, or merely made to look right by the crisis? The discipline is not self-congratulation; it is honest postmortem.

"Déjà Vu All Over Again" begins (2012).

Event context: In 2012, after a decade of poor equity returns and repeated crises, investors were again talking as if stocks might be permanently unattractive. Marks revisits BusinessWeek's famous 1979 "The Death of Equities" article to show how extreme pessimism can mark the start, not the end, of opportunity.

History rhymes: The exact instrument changes (Nifty Fifty, CDOs, tech, gold, equities), but the behavioral pattern persists: investors extrapolate recent pain, forget cyclicality, and miss mean reversion. "Death of Equities" was published near the start of the greatest equity bull market in history.

"What Are the Chances?" begins (2012).

Event context: Inspired by Oaktree's distressed debt experience and JPMorgan's large hedging loss, Marks turns to the nature of investment mistakes: why mispricings exist, why active management can work, and why confidence should vary with probability.

Active management as search for mistakes: Market inefficiency is simply the existence of mistakes: assets priced too low or too high. Active management is justified only if mistakes exist in the chosen market and the investor can identify and exploit them. Otherwise, active fees and activity are wasted.

Why mistakes persist: Bias, closed-mindedness, capital rigidity, psychological excess, and herd behavior stop markets from immediately correcting mispricings. Theory assumes unemotional substitution from dear assets to cheap ones; practice shows people often cannot or will not do that.

Distressed debt as anti-error business model: Distressed investing profits from prior mistakes: optimistic underwriting, excessive debt, and later panic selling. The model works because the field crystallizes negativism, forced selling, and error. Marks calls pro-cyclical behavior one of the biggest destroyers of capital.

Conviction calibration: Having an opinion is not the same as acting as if it must be right. The key is not only a forecast, but the probability that the forecast is correct. Forecasting error becomes fatal mainly when paired with excess conviction.

See active-management-as-error-detection.

Pages 831-850 — Hedging Mistakes, Uncertain Ground, and Post-Election Politics

"What Are the Chances?" completed (June 20, 2012).

Event context: JPMorgan's multi-billion-dollar hedging loss had become public, creating political and regulatory debate about bank risk management. Marks uses it to show that even defensive-sounding actions like hedging can contain serious mistakes.

Hedging is not magic: A hedge can fail through the wrong instrument, wrong amount, time mismatch, insufficient liquidity, or changing correlations. Hedging means giving up some upside for hoped-for downside reduction; it does not eliminate judgment or risk.

Risk control as mindset: Risk control is less an action than a discipline: put as much emphasis on avoiding mistakes as on finding winners, identify the mistake others are making, and temper conviction with fallibility. Superior investing is about being the person who profits from mistakes rather than the one who commits them.

"On Uncertain Ground" (Sep 11, 2012).

Event context: The world was still digesting the GFC, eurozone crisis, U.S. fiscal cliff, low rates, slow growth, municipal stress, and China slowdown fears. Marks saw unusually high uncertainty, but also unusually low investor enthusiasm.

Slow-growth thesis: Growth does not simply happen. It depends on population, infrastructure, aspiration, productivity, confidence, credit, and benign external conditions. Post-GFC deleveraging improves individual balance sheets but suppresses aggregate demand.

Global landmines: Europe lacked a clear operating manual for crisis resolution; the U.S. had back-loaded entitlement and fiscal problems; politics rewarded gridlock; low rates created a low-return world; infrastructure and income mobility were deteriorating; China showed signs of excessive fixed investment and speculative capital flows.

Uncertainty can be safer than confidence: Marks' key inversion: the riskiest condition is widespread belief that there is no risk. A frightening world can be safer than it feels if fear produces cautious behavior and lower prices. A safe-feeling world can become dangerous when confidence pushes investors out the risk curve.

Strategy response: Do not trade on short-term macro forecasts. But do account for secular conditions. In 2012, the answer was not hiding under the bed: low safe yields and reasonable asset prices argued for forward movement, while macro uncertainty argued against aggression. Marks' phrase: move forward, but with caution.

"A Fresh Start (Hopefully)" begins (Nov 15, 2012).

Event context: After Obama's re-election, Hurricane Sandy, demographic voting shifts, the fiscal cliff, and ongoing debt/entitlement worries, Marks writes explicitly about U.S. politics while trying to stay non-partisan.

Political pendulum: The electorate had become sharply segmented by demographics, and Marks treats politics as another pendulum. The immediate investment relevance is fiscal: the U.S. cannot act like Greece without eventually facing Greek-like constraints, even if the U.S. has reserve-currency advantages.

Pages 851-870 — Fiscal Compromise, Risk-Attitude Cycles, and Yield Chasing

"A Fresh Start (Hopefully)" completed (Nov 19, 2012).

Event context: The 2012 election left divided government intact while the fiscal cliff approached. Marks argues that gridlock may be attractive when conditions are benign, but dangerous when fiscal problems require action.

Compromise as economic catalyst: U.S. debt and deficits require some mix of spending cuts, entitlement reform, tax increases, growth, and waste reduction. Because neither party controlled all levers, progress required compromise: each side accepting some things it had promised to fight. Marks treats bipartisan fiscal repair as the clearest potential catalyst for better markets.

Labor-market adaptation: Marks quotes Thomas Friedman on the disappearance of decent-wage middle-skill jobs and the need for education, immigration, business-school-government collaboration, and continuous worker learning. This is a structural-economic thread underneath the market commentary: countries must adapt human capital to technology and globalization.

"Ditto" (Jan 7, 2013).

Event context: By early 2013, memories of the crisis had faded, central banks had forced rates near zero, and investors were again taking risk to replace lost income. Marks revisits his repeated themes and effectively says: the details changed, the cycle did not.

Cycles as chain reactions: A cycle is not merely a sequence but a causal chain. In real estate: bad times reduce building and capital; recovery raises demand; limited supply lifts rents/prices; developers and lenders become optimistic; building surges; later projects open into weaker demand; oversupply creates bad times again.

Risk-attitude cycle: Much market risk comes from investor behavior. Investors move from fear of loss to fear of missing out, then back again. In up-cycles, rising prices create confidence, confidence reduces skepticism, reduced skepticism enables leverage and weak terms, and weak terms seed the next decline. In down-cycles, falling prices create fear, fear creates selling, selling creates bargains.

Price dominates quality: Nifty Fifty stocks were high-quality companies but dangerous at 80-90x earnings. High yield bonds were low-quality assets but excellent investments at low prices in 1978. The lesson repeats Marks' central rule: asset quality does not determine investment risk by itself; price is the principal determinant.

Handcuff volunteers return: In 2013, investors were not bullish in thought, but they were bullish in action because zero-rate policy made safe assets inadequate. This is different from 2005-07 psychologically, but similar mechanically: capital moved into risky credit, yields fell, terms weakened, and return-seeking became dangerous.

High yield bonds today (Feb 21, 2013).

Event context: Clients worried high yield was in a bubble after strong 2012 returns and historically low yields. Marks and Sheldon Stone separate absolute yield from relative spread and credit loss expectations.

Conclusion: High yield was not uniquely vulnerable compared with other bonds, and spreads still compensated for expected defaults. But upside was limited, so returns would come less from stretching for yield and more from minimizing mistakes, maintaining discipline, and avoiding aggressive behavior.

"The Outlook for Equities" begins (2013).

Event context: The "great rotation" debate asked whether investors would move from bonds back into stocks after years of poor equity returns and extremely low bond yields. Marks challenges careless talk about the equity risk premium.

Risk premium tense problem: "The equity risk premium is X" falsely treats a future payoff as a present fact. Marks distinguishes measured historical excess return from what investors once demanded, what they now demand, and what stocks will actually deliver. Only the historical version can be measured; the future version is unknowable.

Pages 871-890 — Equity Risk Premium, Confidence, and the Capital-Raising Race

"The Outlook for Equities" completed (Mar 13, 2013).

Event context: Investors were debating a "great rotation" from bonds to equities after years of poor stock performance and extremely low bond yields. Marks pushes back against glib statements about equity risk premiums and asks what stocks actually offer relative to expectations.

Future premium cannot be read anywhere: Bond yields can be calculated from contractual cash flows, but equity returns require assumptions about earnings growth, terminal multiples, and investor psychology. The only equity risk premium that matters is the future one, and it is the least knowable.

Past returns borrow from future returns: Strong recent performance often reduces future expected returns by removing undervaluation or creating overvaluation. Marks treats extrapolation as the main error: after the 1990s, investors increased return expectations just as equities had borrowed from the 2000s.

2013 equity stance: Equities were not as cheap as 1982, but they were still relatively unloved, reasonably valued, and attractive compared with very low bond yields. Marks judged the market as somewhere in the first half of stage two of a bull market: improvement recognized, but not yet euphoric.

"The Role of Confidence" (2013).

Event context: After the Fed's taper talk shook markets, Marks examines confidence as a self-reinforcing economic and market force. Investors had been pushed into risk by low rates despite weak underlying confidence.

Confidence as economic engine: If people expect the future to be good, they spend, invest, hire, and buy assets; those actions help make the future better. When confidence dies, the same circularity works in reverse.

Confidence can be dangerous: 2005-07 showed confidence out of proportion to reality. High confidence creates pleasant current conditions but encourages leverage, weak underwriting, and mispricing. Low confidence is unpleasant but can be healthier if it produces caution and lower prices. See confidence-cycle.

All-good/all-bad thinking: At extremes, investors stop weighing both sides. In 2005-07, confidence caused investors to stop applying skepticism, stop demanding risk premiums, and stop worrying about losing money. After reversals, they often swing to the opposite mistake: seeing only negatives.

"The Race Is On" begins (2013).

Event context: By 2013, the post-crisis low-rate environment had reopened capital markets aggressively. Marks revisits "The Race to the Bottom" (2007) to warn that the capital-market cycle was again moving toward accommodativeness.

Credit window opening: When companies are profitable and markets are calm, lenders compete to deploy capital. They do not just lend more on old terms; they weaken terms to win deals. The memo begins another treatment of the credit cycle as a race to provide capital.

Pages 891-910 — Risk Bearing Returns, Inefficiency, and Daring to Differ

"The Race Is On" completed (2013).

Event context: In the years after the GFC, central banks suppressed safe yields. Investors were no longer euphoric like 2006-07, but they were being forced by low returns into riskier credit markets. Marks compares the new cycle to the pre-crisis "Race to the Bottom."

Risk without euphoria: The 2013 cycle was not driven by "everything is safe" psychology. It was driven by need: institutions required return, savers needed income, and safe assets yielded too little. The behavior became risk-tolerant even if the language remained cautious. This is one of Marks' best distinctions: investors can act bullish without feeling bullish.

Credit-market symptoms: Cov-lite loans, PIK-toggle debt, CLO demand, CCC issuance, dividend recaps, rising buyout leverage, subprime auto loans, IPO enthusiasm, and social-media valuations all pointed toward declining risk aversion. None individually proved a bubble; together they raised the market temperature.

Practical conclusion: Not a sell-everything signal, but a raise-caution signal. When others conduct their affairs with less prudence, one's own prudence should rise. Marks' posture remains: move forward, but with caution.

Market efficiency / weak games memo (2014).

Event context: Marks uses Michael Mauboussin's poker analogy — do not just get better, find weak games — to revisit market efficiency and Oaktree's historical edge in high yield and distressed debt.

Efficient markets as rebuttable presumption: Marks respects the efficient market hypothesis but softens it. Prices may not be "right," but in well-followed markets they often represent the best current collective estimate. The burden of proof is on anyone claiming a market is inefficient enough to exploit.

Structural vs. cyclical inefficiency: High yield bonds in 1978 and distressed debt in 1988 were structurally inefficient: little information, stigma, few participants, weak infrastructure, and institutional prohibitions. Today, structural inefficiency is rarer because everyone knows almost everything. But cyclical inefficiency still appears when emotion overwhelms objectivity, especially in panics.

Easy games are scarce: The easiest way to win is to play where other players make mistakes. But free-lunch counters get picked clean. Oaktree's lesson is not "all obscure markets are good"; it is "seek markets where others are constrained, emotional, uninformed, or absent."

"Dare to Be Great II" begins (2014).

Event context: Marks revisits the institutional challenge of outperformance. Superior results require more than technical skill; they require an organization willing to be different and to endure looking wrong.

Different portfolio prerequisite: If a portfolio looks like everyone else's, it cannot perform differently from everyone else's. To have a chance at top-decile results, the investor must own different things, weight them differently, or act at different times.

Pages 911-930 — Looking Wrong, FOMO Risk, and the Expanded Risk Taxonomy

"Dare to Be Great II" completed (2014).

Event context: Institutional investors wanted superior results but often faced committees, boards, media scrutiny, career risk, and benchmark comparison. Marks asks whether they are willing to do what superior results require.

Different means uncomfortable: Non-consensus positions are lonely by definition. The investments that feel best usually have rosy stories and recent gains, so they are rarely cheap. Bargains usually live where people are uncomfortable, pessimistic, or embarrassed to invest.

Dare to look wrong: It is not enough to accept the abstract risk of being wrong. Institutional investors must accept looking wrong before being proved right. Being too far ahead of time is indistinguishable from being wrong; correct decisions can be abandoned because clients, boards, or capital providers cannot tolerate interim embarrassment.

Agency risk creates over-diversification: Many agents follow an implicit rule: never own enough of something that, if it fails, makes you look bad. This protects careers but ensures winners cannot matter much. If everything is sized to avoid embarrassment, the portfolio has little chance of greatness.

"Risk Revisited" begins (2014).

Event context: After years of near-zero rates, investors were taking incremental risk to reach return targets. Marks revisits risk not as a single number but as many overlapping hazards that must be consciously accepted or rejected.

FOMO risk: The fear of missing opportunity can become excessive. When safe returns are too low, investors may buy things they do not understand simply because others are doing so and they do not want to be left behind.

Ten percent solution: Oaktree's credit strategies sought roughly 10% returns, but Marks insists those returns cannot come without risk. The relevant risks include credit risk, illiquidity risk, concentration risk, leverage/funding risk, manager risk, over-diversification risk, volatility risk, basis risk, model risk, black swan risk, career/headline risk, event risk, fundamental risk, valuation risk, correlation risk, interest-rate risk, purchasing-power risk, and upside risk.

Risk is counterintuitive: The more people fear risk, the safer markets can become because prices fall and risk premiums rise. The more people believe risk is absent, the more dangerous markets become because prices rise, standards weaken, and risk premiums shrink.

Pages 931-950 — Risk Control, Oil Shock, Liquidity, and Risk Revisited Again

"Risk Revisited" completed (Sep 3, 2014).

Event context: Low rates and return pressure had made investors more willing to accept weaker terms and more complex risks. Marks argues that risk control had become more important than usual because market behavior had entered the zone of imprudence.

Risk control as everyone’s job: VaR, Sharpe ratios, and other metrics are useful but insufficient. Risk management must be practiced by every participant through experience, judgment, and understanding of the underlying assets. The fire-insurance analogy returns: risk control looks unnecessary when nothing burns, but that does not make it wrong.

"The Lessons of Oil" (Dec 2014).

Event context: Oil prices fell sharply in 2014 while most investors had been focused on Fed tapering and rate hikes. The memo uses the oil shock to show that markets are often hit by the risks people were not discussing.

Failure of imagination: Investors usually forecast from the present and underestimate both the range of outcomes and the downstream consequences. The oil decline affected producers, consumers, currencies, emerging markets, airlines, autos, oil services, high yield credit, banks, and investor psychology.

Second-order consequences: Oil's fall shows how an event can spread through "fault lines" in portfolios. Selling can become indiscriminate: investors start by selling oil exporters and end up selling unrelated emerging markets or high yield bonds because liquidity needs and fear override fundamentals.

Self-correction: Lower oil prices eventually raise demand and reduce supply by changing behavior. This is another Marks cycle principle: lower prices plant the seeds of higher prices, just as higher prices plant the seeds of lower prices.

Liquidity memo (2015).

Event context: Senior loan mutual funds, ETFs, post-GFC dealer balance-sheet constraints, the Volcker Rule, and memories of 2008 made liquidity a central market-structure issue.

Liquidity paradox: Liquidity is plentiful when no one needs it and scarce when everyone does. Mutual funds and ETFs can offer daily trading, but they cannot be more liquid than the underlying bonds or loans. If many holders sell at once, the vehicle may force "sell regardless of price" behavior into the underlying market.

Innovation trap: Auction-rate securities, ETFs in illiquid markets, and other products promise liquidity or risk reduction by assuming other parties will act as they "should." Marks repeatedly warns that in crises people do not always do what models assume. See liquidity-risk.

Preparation: Own assets that can be held to maturity or through stress, avoid fragile leverage and margin-call exposure, structure vehicles and client expectations for patience, and focus on durable value rather than market marks.

"Risk Revisited Again" begins (2015).

Event context: While preparing the 2014 risk memo for a collection, Marks decided to expand it into a fuller statement of what he knows about risk. The opening returns to his core objection: volatility is quantifiable, but permanent loss is what investors actually fear.

Pages 951-970 — Risk as Probability Distribution and Why Investing Is Not Easy

"Risk Revisited Again" completed (June 8, 2015).

Event context: Marks expands the 2014 risk memo into a near-definitive statement. The market setting is still a low-rate, return-starved environment where investors are stretching for yield and capital-market standards are weakening.

Risk cannot be precisely measured: Risk exists only in the future and cannot be quantified reliably before the fact. If risk means probability of loss rather than volatility, it cannot even be known after the fact: a profitable outcome does not prove the investment was safe, and a loss does not prove the decision was foolish.

Future as distribution, not point forecast: The right mental model is not "what will happen?" but "what outcomes are possible, and how likely is each?" Superior investors have a better sense of what is in the distribution and whether the possible upside compensates for the negative left tail.

Probability is not outcome: Knowing the probabilities does not tell you which ticket will be drawn. Expected value is useful, but only one outcome occurs. If one possible outcome is unacceptable, the investor may have to reject the highest expected-value path.

Riskier does not mean higher return: Riskier assets must appear to offer higher returns, or investors would not buy them. But if higher returns were guaranteed, the assets would not be risky. This distinction guards against the lazy belief that more risk mechanically produces more return.

Risk control, not risk avoidance: Risk control is central, but avoiding all risk usually means avoiding return. The task is to bear risk intelligently when compensation is sufficient and reduce it when risk premiums are inadequate.

"It's Not Easy" begins (2015).

Event context: Marks uses Charlie Munger's line — investing is not supposed to be easy — as an organizing frame for why superior results are hard. The memo begins by revisiting second-level thinking explicitly for memo readers.

Market function: Markets compete away obvious excess returns. If something looks easy, either other people are making a mistake, the market is inefficient, or the investor is missing complexity. This becomes another path back to second-level thinking: better performance requires thinking that is both different and more correct than consensus.

Pages 971-990 — Second-Level Thinking and Outcome Bias

"It's Not Easy" continued (2015).

Event context: Marks is explaining why superior investing is structurally difficult. Markets are competitive, prices already reflect consensus expectations, and the investor must outthink other participants rather than merely identify good companies or attractive stories.

Second-level thinking formalized: The key questions are not simply "is this good?" but: what does the consensus believe, how is that belief priced, how do my expectations differ, what probability do I assign to being right, and what happens if the consensus or I am wrong?

Keynes beauty contest: Short-term markets resemble a contest to predict what others will find attractive. But Marks also warns that long-term investors must not become obsessed with popularity alone; the weighing machine eventually matters. This creates a dual discipline: understand consensus psychology, but anchor on value.

What everyone knows is usually unhelpful: Widely loved investments are usually already priced for love. The Nifty Fifty, housing/mortgages, internet stocks, oil at $147, and social-media enthusiasm all contained real grains of truth, but obvious truth plus overpricing creates poor investments.

Perversity of risk restated: High-quality assets can be dangerous at excessive prices; low-quality assets can be safe at irrationally low prices. First-level thinkers confuse fundamental quality with investment risk. Second-level thinkers focus on price versus value.

Decision quality vs outcome: Marks uses football examples and Taleb's alternative histories to show that outcome alone cannot judge decision quality. A failed decision may have had the highest ex ante probability of success, and a successful decision may have been lucky. See decision-quality-vs-outcome.

Self-confidence: The memo begins a section on the victor's mindset, using Novak Djokovic. Marks is careful: superior investing requires enough self-confidence to be different and endure looking wrong, but excessive confidence becomes hubris. The useful zone is confidence bounded by humility.

Pages 991-1010 — Self-Confidence, Market Psychology, and Whether the Market Knows

"It's Not Easy" completed (2015).

Event context: Marks finishes the memo by drawing lessons from sports, betting, and second-level thinking. The central question is what temperament lets someone act differently from the crowd without becoming overconfident.

Confidence with brutal self-assessment: Great investors need enough conviction to buy falling assets, hold winners instead of clipping gains too early, catch falling knives when value justifies it, and take positions that differ meaningfully from the benchmark. But this confidence is only useful when earned. Hubris is more dangerous than insufficient confidence.

Sports lessons for investing: Discipline, consistency, and error minimization matter more dependably than bold strokes. But superior performance still requires doing something different and having the confidence to withstand uncertainty, drawdowns, and looking foolish.

"On the Couch" begins (Jan 14, 2016).

Event context: After a day of sharp declines in stocks, credit, and crude oil in December 2015, Marks uses psychology to explain market behavior. The setting includes China worries, commodity declines, oil weakness, geopolitics, U.S. political dysfunction, reduced liquidity, and fragile post-GFC confidence.

Tipping point: Investors can ignore negatives for a long time, then abruptly capitulate and overreact. The August 2015 China scare was such a point: risks that had been broadly known suddenly became emotionally salient, and risk tolerance flipped into risk aversion.

Half-full / half-empty: Investors rarely maintain neutral interpretation. They selectively perceive positives or negatives depending on emotional state. Real-world conditions usually range from "pretty good" to "not so hot," but markets often perceive "flawless" or "hopeless." This extends confidence-cycle.

China and 2008 comparison: Marks sees China as the most important listed risk, but does not see another GFC setup: no comparable boom, less private-sector leverage, stronger banks, and no direct equivalent to subprime mortgage securities inside systemically levered banks. Still, he stresses uncertainty and psychological contagion.

"What Does the Market Know?" begins (Jan 2016).

Event context: After "On the Couch," Bloomberg asked whether the market's decline itself was worrying. Marks responds by asking whether market prices represent superior knowledge or merely crowd emotion.

Market as sentiment barometer: There is no separate entity called "the market" with special wisdom. There are only participants with varying knowledge and emotional states. In the short run, price is a volume-weighted vote, not a clinical fundamental analysis.

Contrarian implication: If active investors believe mispricings exist, they cannot also treat the market as always wiser than they are. At extremes, the market's emotion may be more intense than any one participant's because panic and greed compound socially.

Pages 1011-1030 — Market Signals, Economic Reality, and Political Reality

"What Does the Market Know?" completed (Jan 19, 2016).

Event context: Early 2016 markets were falling sharply, and commentators were asking whether the decline itself signaled a coming recession or crisis. Marks pushes back against treating price action as oracle.

Reflective, not predictive: Falling prices tell you that participants are worried and have reacted to known events. They do not reveal knowledge beyond what average investors possess. Since above-average results require thinking differently from average opinion, following market price action cannot be the path to outperformance.

Valid reasons to sell: Marks distinguishes selling because price exceeds value, selling because future fundamentals are likely to deteriorate relative to price, and selling merely because one expects short-term price declines. The first two are value-based; the third requires predicting psychology and is much less reliable.

Market psychology vs. fundamentals: Daily price changes mostly reflect sentiment, not intrinsic value. Selling after declines can turn temporary fluctuation into permanent loss by causing the investor to miss recovery. This is one of Marks' cardinal sins.

"Economic Reality" (May/June 2016).

Event context: 2016 election season produced policy promises from candidates across the spectrum. Marks writes about economic constraints: governments and central banks cannot repeal scarcity, trade-offs, incentives, or second-order consequences.

Economics as choice: Scarcity means saying yes to one thing requires saying no to another. Politicians often replace "or" with "and," promising cleaner environment and faster growth, higher wages and more jobs, lower taxes and better benefits, protectionism and cheap goods.

Stimulus limits: Central banks can pull activity forward and prevent panics, but they cannot create long-term productive capacity by printing money or lowering rates. Durable growth comes from labor, productivity, infrastructure, incentives, and real output.

Policy trade-offs: Tariffs protect some jobs but raise consumer costs and invite retaliation. Minimum wages raise pay for some but may reduce job formation or accelerate automation. Price controls create shortages when prices fall below production cost. Governments can redistribute and incentivize, but cannot make everyone better off by decree.

"Political Reality" begins (July 2016).

Event context: Brexit had just passed, and Marks saw political reality colliding with economic reality. The memo shifts from economics as constraints to politics as the arena where those constraints are often denied.

Political reality: Candidates can promise benefits without costs, and voters often reward pleasant impossibilities over painful truths. Marks uses Walter Mondale's 1984 tax candor and defeat as the clean example: telling voters the truth about trade-offs is politically punished.

Pages 1031-1050 - Brexit, Populism, and the Political Cost of Trade-offs

"Political Reality" completed (Aug 17, 2016).

Event context: The UK had voted to leave the European Union, Donald Trump and Bernie Sanders had both exposed deep voter dissatisfaction in the U.S., and globalization/automation were becoming central political issues. Marks treats Brexit not mainly as a market forecast, but as an example of political decision-making under anger, misinformation, and simplified promises.

Brexit as decision-process failure: Marks' critique is procedural and epistemic: an irreversible, complex decision was reduced to a simple-majority referendum, influenced by slogans about immigration and NHS funding, with no serious implementation plan ready afterward. The lesson is that political reality rewards winning the vote, while economic reality still demands execution.

Voting booth vs. weighing machine: Borrowing Ben Graham's market metaphor, Marks argues elections increasingly resemble short-term popularity contests. In investing and business, decision-makers at least try to compare costs and benefits; in politics, incentives often reward saying what people want to hear and deferring consequences until after officeholders are gone.

Globalization and dislocation: Marks does not deny the economic pain behind populism. Trade and automation make the system more efficient overall, but benefits are unevenly distributed: educated and capital-owning groups gain, while less-educated workers face stagnant incomes, job insecurity, and loss of status. This dislocation creates anger that can be either productively processed or exploited.

Future shock: Marks connects 2016 politics to Alvin Toffler's "too much change in too short a period of time." Technology, globalization, immigration, and cultural change have moved faster than institutions can adapt. The result is not merely irrational voter anger; it is real strain filtered through political narratives.

Political realignment risk: Marks speculates that traditional party coalitions may fracture around economic disadvantage, cultural grievances, distrust of elites, protectionism, isolationism, and national self-interest. He notes that Trump and Sanders both drew support from people dissatisfied with the historic arrangement, even though their supporters differed sharply.

Institutional prescriptions: Marks argues that better political outcomes require structural repair: bipartisan compromise, independent redistricting, primary reform, reduced money in politics, and caution about referendums. The deeper point is consistent with his investing philosophy: systems need incentives that reward long-term truth-seeking rather than short-term emotional victory.

"Implications of the Election" begins (Nov 2016).

Event context: Written around the U.S. election, the memo continues the political-reality thread. Marks focuses on the anger behind Trump's rise rather than predicting or debating the election result.

Angry voters: Marks frames Trump support as partly rooted in real demographic and economic dislocation: older, white, non-college-educated workers had lost economic security, cultural centrality, union protection, and confidence that their children would live better. He argues this anger should not be dismissed, even if it can be channeled destructively.

Anger as fuel: Quoting the Wutburger discussion, Marks distinguishes anger that drives reform from anger transformed into hatred. The policy implication is that elites must process legitimate grievances rather than merely denounce them; otherwise unresolved anger becomes a recurring political force.

Pages 1051-1070 - Election Surprise, Market Surprise, and Expert Opinion

"Implications of the Election" completed (Nov 7, 2016).

Event context: Written immediately before the U.S. election, this memo continues the 2016 political-reality thread. Marks focuses on the structural implications of voter anger, party realignment, the Electoral College, money in politics, and the need for bipartisan compromise.

Democratic process as incentive system: Marks treats political institutions the way he treats markets: incentives shape behavior. Gerrymandering, low-turnout primaries, private campaign finance, referendums, and the Electoral College can all distort representation and reward extremism or short-termism.

Two strong parties, not free rein: Marks dislikes gridlock but also warns against the opposite: one party operating without meaningful resistance. His preferred system is competitive, moderate, and compromise-oriented, because complex problems require trade-offs rather than slogans.

"Go Figure!" (Nov 14, 2016).

Event context: Written one week after Donald Trump unexpectedly won the Electoral College while Hillary Clinton won the popular vote. Before the election, consensus expected a Clinton victory and expected a Trump victory to hurt markets. Instead, Trump won and U.S. stocks had their best week since 2014.

Two-layer forecasting failure: Marks draws two lessons: first, no one really knows what events will happen; second, no one knows how markets will react to those events. Even if an investor had predicted Trump correctly, the consensus market-reaction prediction was wrong.

Market interpretation flips: The same market that rose when Clinton's odds improved also rose after Trump won. Marks links this to "On the Couch": markets do not need consistent logic in the short run. Sometimes they interpret everything positively; sometimes negatively. The event does not contain its own market reaction.

Trump policy mix: Marks lists pro-business positives - tax reform, deregulation, infrastructure, bank relief, repatriation - but also economic-reality constraints: deficits, Fed independence, trade wars, international relations, and bond-market pressure from higher inflation/rates.

Electoral College as event mechanism: Clinton won the popular vote but lost the election because Trump won enough states efficiently. Marks critiques the winner-take-all system while accepting that it is the operative rule. For the memo's event context, this matters because it shows how an outcome can be both surprising and structurally explainable after the fact.

"Expert Opinion" begins (Jan 2017).

Event context: After Brexit, Trump, and Italy's failed constitutional referendum, Marks turns the same lesson toward experts and media. Expert opinion may be more informed than lay opinion, but it is still opinion about an uncertain future.

The year polls stopped working: Polling failures in the UK, U.S., and Italy exposed blind spots in sampling, honesty, interpretation, and expert confidence. Marks does not say experts are useless; he says certainty language around expert forecasts is dangerous.

Media and confidence: Marks argues that modern media can make people feel informed and confident without actually improving prediction. Real-time news participation becomes addictive, belief-confirming, and intellectually lower-yield than people think.

NFL bettors as audit trail: Marks likes the New York Post's NFL experts because their predictions are scored. Their near-coin-flip results, especially after betting costs, illustrate a theme that applies to macro pundits and market forecasters: expertise needs a performance record, not just confident commentary.

Pages 1071-1090 - Macro Humility, Subscription Lines, and Early Cycle Warnings

"Expert Opinion" completed (Jan 10, 2017).

Event context: After the election shocks of 2016, clients kept asking macro questions: when the Fed would raise rates, what could go wrong, what inning the cycle was in, and what various countries' outlooks were. Marks uses these questions to restate why macro forecasts are seductive but usually not useful.

Important is not the same as knowable: Warren Buffett's filter appears here: information is worth pursuing only if it is both important and knowable. Macro variables move markets, so they are important. But for Marks and Oaktree, most are not knowable enough to justify bold action.

Better questions than "what inning?": Marks says investors should not ask what inning the cycle is in, because no one knows how long the game will last. Better questions are observable: is psychology depressed, normal, or euphoric? Are capital markets shut, normal, or unthinkingly generous?

Facts vs opinions vs fake facts: Marks worries that partisan media and social platforms blur the distinction between facts, opinions, and fabricated facts. This extends his investment epistemology into public discourse: if authorities and evidence lose credibility, decision quality deteriorates.

"Lines in the Sand" (Apr 18, 2017).

Event context: Subscription lines had become common in private equity, real estate, distressed debt, and private credit funds. Clients were asking whether they improved performance or merely changed how performance looked.

Subscription line mechanics: A subscription line is bank borrowing secured by LP capital commitments. It lets a fund defer calling LP capital, but does not let the fund invest more than committed capital. It changes timing, not lifetime investment opportunity.

IRR optics vs real wealth: Because LP capital is called later, early IRR can improve even when total dollar profits and multiples do not. Marks links this to his earlier "You Can't Eat IRR" point: investors care about money made on committed capital over time, not a single annualized number that can be gamed by timing.

Metric incompleteness: IRR, MOC, and MOCC each omit something. To judge a GP, one must know how much capital was committed, how much was invested, how long it stayed invested, and how much came back. No single metric answers the whole question.

Systemic risk possibility: Subscription lines may create hidden linkages. In crisis, LPs could face larger, less frequent capital calls exactly when other assets are falling. If LPs overcommit because capital was not called earlier, they may become forced sellers or default on calls. Marks treats this as unlikely but exactly the kind of weakness exposed only in bad times.

Survivability test: The memo's core principle is general: financial security does not come from assuming things work in normal times; it comes from asking what can go wrong in bad times and doing only what remains survivable.

"There They Go Again . . . Again" begins (July 2017).

Event context: After eight years of post-GFC gains, low rates, high asset prices, low VIX, and abundant risk appetite, Marks writes another cautionary memo. He admits prior warnings can be early for years, but argues that waiting until danger is obvious makes risk reduction much harder.

Current conditions: Prospective returns are historically low, asset prices high, pro-risk behavior common, and investors are more worried about being underinvested than losing money. This is the same psychological setup Marks warned about in 2005-2007, even if the exact catalyst is unknowable.

Boom ingredients: Marks lists the recurring ingredients of booms: benign environment, grain of truth, early success, more money than ideas, suspension of disbelief, rejection of valuation norms, pursuit of the new, virtuous circle thinking, and fear of missing out.

FAANG as super-stock case: Marks does not deny that Facebook, Amazon, Apple, Netflix, and Google are excellent companies. The warning is valuation and extrapolation: bull markets anoint a small group as invincible, then investors price in perfection far into the future.

Pages 1091-1110 - Passive Flows, Credit Heat, Crypto, and Calibration

"There They Go Again . . . Again" completed (July 26, 2017).

Event context: The memo is a mid-2017 market-temperature reading, not a crash prediction. Marks sees a broad cluster of late-cycle signs: record-low VIX, high equity valuations, FAANG enthusiasm, accelerating passive/ETF flows, weak credit terms, emerging-market debt appetite, private equity fundraising, SoftBank's giant Vision Fund, and digital-currency speculation.

Passive investing and price discovery: Passive investing works partly because active investors set prices. If too much capital becomes value-agnostic, price discovery weakens and overweights become momentum trades. Marks especially worries about ETFs promising liquidity while owning less-liquid underlying assets, and about "smart beta" becoming discretionary stock selection under a passive label.

Crowded passive momentum: Capitalization-weighted index flows buy more of what has already gone up. This can make the biggest winners bigger, but if flows reverse, the same mechanism forces selling of the most appreciated and overweight names. Marks links this to prior "perpetual motion machine" thinking in the tech bubble.

Credit heat: Credit conditions show risk tolerance directly because promised returns are visible. Marks points to weak covenants, Netflix's low-yield single-B bonds, auto-loan securitization, and Argentina's 100-year bond as evidence that investors are accepting modest reward for substantial risk.

Private equity and SoftBank: Record private equity fundraising and the $93B SoftBank Vision Fund show faith in managers and scarcity of return. Marks' worry is not that these must fail, but that massive capital pools and levered tech exposure are signs of low skepticism and high confidence.

Digital currencies as speculative symptom: Marks initially treats Bitcoin/Ether as speculation without intrinsic value. The deeper framework is familiar: people buy because they expect others to pay more later. He later softens the currency question, but in this memo the crypto boom functions as another indicator of credulousness and risk appetite.

Relative returns cannot be eaten: In a low-rate world, many risky assets look attractive relative to cash and Treasurys. Marks warns that investors can spend only absolute returns, not relative returns. "There is no alternative" thinking is another form of reaching for return.

What to do: Marks does not say "get out." He says "move forward, but with caution." When uncertainty is high, prospective returns low, prices high, and risk appetite elevated, investors should emphasize selectivity, lower-risk approaches within asset classes, and defense over return-chasing.

"Yet Again?" begins (Sep 7, 2017).

Event context: "There They Go Again . . . Again" generated unusually strong public response, especially to the crypto comments. Marks uses the follow-up to clarify that he is not calling a top or ordering investors out of markets.

Calibration, not binary calls: Marks says he would never say "get out" or "it's time." Positioning should be calibrated along a continuum from aggressive to defensive based on valuation, market behavior, and investor psychology. The decision is not in/out; it is how much risk to bear at the current price.

Cycle adjustment vs forecasting: Marks distinguishes observing the present from forecasting the future. Oaktree can become more cautious when prices are high and risk tolerance is extreme without claiming to know when a decline will occur.

FOMO vs sell discipline: Comments like "the market is expensive, but wait for a few down days" reveal bull-market psychology. If something is past a sell point, continuing to hold mainly reflects fear of missing out rather than discipline.

Bitcoin reconsidered begins: Marks reopens the digital-currency discussion after criticism. He shifts from treating Bitcoin purely as an investment asset toward evaluating whether it can function as a currency, payment mechanism, or speculation vehicle.

Pages 1111-1130 - Bitcoin, Tax Stimulus, and Investing Without People

"Yet Again?" completed (Sep 7, 2017).

Event context: After public pushback to his July 2017 caution memo, especially on Bitcoin, Marks revisits digital currencies more carefully. Bitcoin had risen sharply, crypto enthusiasm was broadening, and investors were debating whether it was a currency, payment mechanism, asset class, or speculative object.

Currency vs investment asset: Marks concedes Bitcoin can function as a currency if enough people accept it. But being a possible medium of exchange does not automatically make it a good investment at a given price. The price still has to be assessed.

Lottery-ticket thinking: Bitcoin bulls cite enormous upside if adoption becomes widespread. Marks identifies this as the same logic behind speculative manias: small probability times giant payoff feels rational, but it often depends on greater-fool buying and FOMO.

Blockchain grain of truth: The memo is not pure dismissal. Marks recognizes a grain of truth: limited supply, portability, private agreement, possible payment use, and distrust of fiat currencies. The warning is that real technological promise can still be converted into speculative overpricing.

Passive-investing reflexivity: Marks deepens the passive-investing concern using Soros' reflexivity: attempts to master the market change the market. Passive investing depends on active investors setting prices, but as passive grows, fewer price-discovery decisions are being made.

"Latest Thinking" (Jan 23, 2018).

Event context: U.S. markets had continued rising, the Trump tax law had passed, the economy was strong, and Marks' prior caution had again looked early. He updates the market balance sheet: stronger fundamentals but higher prices.

Pros vs cons: Positives include global growth, deregulation, lower corporate taxes, low unemployment, low inflation, and gradual expected rate hikes. Negatives include high valuations, low prospective returns, FOMO, relative-return thinking, low VIX, rising rates, automation, China dependence, and political/geopolitical risks.

Still not "get out": Marks keeps the stance: not maximum defense, not aggressiveness. The right posture is fully invested where opportunities are reasonable, but with more-than-usual caution. Again, this is calibration, not a crash call.

Tax law as short-term positive, long-term negative: Corporate tax cuts improve profits, cash flows, buybacks, and near-term growth, but they also raise deficits/debt and stimulate an already-long recovery just as the Fed is tightening. Marks views this as fiscal pro-cyclicality.

SALT and second-order consequences: Limiting state/local tax deductibility hurts high-tax states and may push high earners and companies toward low/no-tax states. Marks' second-order point: direct effects may hit high earners, but indirect job/employer effects can hit lower-income residents who are less able to move.

Cycles explanation: Marks uses the upcoming cycles book to restate the mechanism: people cause economies and markets to overshoot, usually upward first, then correct. Markets doing "too well" and economies being overstimulated both feel good in the moment and carry future costs.

"Investing Without People" begins (June 2018).

Event context: After years of flows from active to passive, growth in ETFs, algorithmic trading, and early AI/machine-learning enthusiasm, Marks examines markets with fewer human price-setters.

Indexing history: Marks traces passive investing from Chicago-school efficient market theory to Bogle's Vanguard index fund. The core bargain is clear: low fees, low trading, no human stock-picking mistakes, and guaranteed index performance. But it is also guaranteed not to outperform.

Passive depends on active: Passive investors "freeload" on active investors who perform security analysis and set market prices. If passive share becomes too large, the assumptions behind passive investing weaken because fewer human decision-makers are doing price discovery.

Smart beta as semantic investing: Once ETFs narrow into factors, themes, values, geographies, or labels, the line between passive and active blurs. Someone still chooses the rules, definitions, and construction logic, but the product may be marketed as passive.

Pages 1131-1150 - Passive Price Discovery, Quant Limits, AI, and Too Much Money

"Investing Without People" completed (June 18, 2018).

Event context: Passive investing had become mainstream, ETFs had proliferated, quantitative/systematic investing was growing, and AI/machine-learning enthusiasm was spreading. Marks asks what markets look like when fewer humans perform fundamental judgment.

Passive threshold question: Passive investing depends on active investors doing price discovery. At 40% passive, enough active work may remain. At 100% passive, no one studies companies or assesses fair value. The unknowable question is where between those levels market prices begin to diverge enough for active management to regain an edge.

Index inclusion and ETF flow distortion: Broad cap-weighted index inflows may not change relative weights inside the index, but index membership itself matters: stocks inside indices and smart-beta products receive mechanical demand. Popular, liquid, large-cap winners can benefit from forced buying, and that same mechanism can reverse when flows leave.

ETF liquidity illusion: ETFs are easy to trade, but the ETF cannot be more liquid than its underlying assets during stress. High-yield bond ETFs are the clean example: there may always be a quoted price, but in chaos that price may be a discount to underlying value or a poor execution.

Quantitative investing: Marks distinguishes systematic factor investing from statistical arbitrage. Quants can process more data and avoid emotion, but they rely on historical relationships that may not hold, and stat-arb opportunities are capacity-limited. LTCM remains the warning: small statistical edges plus leverage can fail when relationships diverge instead of converge.

No formula forever: Reflexivity means any widely adopted formula changes the market it exploits. A superior quantitative formula may work for a time, but popularization, crowding, and regime change erode it. Long-term quant success requires constant renewal, not a static rule.

AI and machine learning: Marks sees AI as potentially more powerful than hand-coded quant rules because machines may learn patterns themselves. Still, he doubts near-term replacement of top investors because many investment judgments are qualitative: management, incentives, bankruptcy negotiation, long-term business quality, private/non-traded assets, and situations without clean data.

The remaining human edge: Computers can count what is countable. Marks' defense of human alpha is that not everything important is countable: creativity, taste, discernment, judgment, qualitative insight, and long-term perspective may remain scarce.

"The Seven Worst Words in the World" begins (Sep 2018).

Event context: Marks' book Mastering the Market Cycle was about to be released, and 2018 marked ten years since Lehman. Markets had risen for nearly a decade under low rates and abundant liquidity. The memo previews the cycle framework through one sentence: "too much money chasing too few deals."

Auction-house logic: In markets, the deal goes to whoever pays the highest price or accepts the lowest prospective return. When many buyers have lots of capital and eagerness, prices rise, structures weaken, returns fall, and risk increases.

2005-2007 parallel: Oaktree turned cautious before the GFC not because it predicted subprime collapse, but because too many imprudent deals were getting done. The quality of deals, not the identity of the future catalyst, was enough evidence.

Ten-year memory decay: By 2018, the GFC trauma had faded, low rates had been normalized, the recovery and bull market were both nearly ten years old, and many managers had never lived through a bear market. Marks quotes the banker-memory idea: cycles may be ten years, but bankers have five-year memories.

Direct lending as case study: Direct lending began attractively after the GFC when banks pulled back and non-bank lenders could demand strong terms. By 2018, capital had flooded in, new managers proliferated, terms weakened, and the strategy risked becoming another case of "what the wise man does in the beginning, the fool does in the end."

Debt-quality warning signs: Marks starts listing signs of excess: global debt/GDP up sharply, U.S. fiscal stimulus late in cycle, highly leveraged companies rising, leveraged loans doubling from 2008, covenant-lite issuance, EBITDA adjustments, record private equity fundraising, SoftBank scale, venture mega-rounds, fracking debt, student debt, personal loans, and EM dollar debt.

Pages 1151-1170 - Debt as Soft Spot, Tariffs, Capitalism, and Populism

"The Seven Worst Words in the World" completed (Sep 26, 2018).

Event context: Ten years after Lehman, Marks sees debt rather than equities as the likely soft spot of the cycle. The specific evidence comes from leveraged lending, private credit, covenant-lite loans, EBITDA adjustments, buyout leverage, EM debt, Argentina's century bond, and regulatory loosening.

Imprudent deal evidence: Oaktree professionals provide live examples: aggressive covenant-lite LBO financing, adjusted EBITDA far above reported EBITDA, companies issuing debt at tight spreads despite weak cash generation, buybacks financed with debt, and sponsors paying perfection prices with very little room for error.

Debt at ground zero: Marks does not call a general credit bubble or predict a crash. He argues that if the next problem comes, public/private debt is a better candidate for "ground zero" than equities, because low rates and return hunger have weakened underwriting and increased leverage.

Temperature-taking: The purpose of these examples is not prediction but diagnosis. The investor asks whether market participants are guarded or optimistic, skeptical or accepting, prudent or imprudent, risk-averse or risk-tolerant. The answer tells you whether to emphasize offense or defense.

Loss-limitation trade-off: Marks closes by saying investors should favor approaches that limit losses in declines over approaches that ensure full participation in gains. You cannot have both.

"Political Reality Meets Economic Reality" (Jan 30, 2019).

Event context: Tariffs, Trump-China trade conflict, and rising left-populist criticism of capitalism had become central U.S. political issues. Marks explicitly returns to Economic Reality vs Political Reality.

Tariffs as second-order problem: Trump used tariffs to pressure China over real issues: barriers, forced tech transfer, IP theft, subsidies, and currency behavior. Marks' point is not that all complaints are invalid; it is that tariffs carry costs, retaliation risk, input-price increases, consumer-price effects, supply-chain consequences, and unpredictable second-order impacts.

Trade deficit misunderstanding: Marks rejects the idea that trade deficits automatically mean "we lose." A deficit can simply mean consumers receive goods they value at prices they prefer. The haircut analogy: paying the barber creates a "deficit" but both sides win.

Capitalism critique: Marks argues capitalism is imperfect and requires regulation, safety nets, and conscience, but dismantling the incentives of private ownership, profit, and accumulated wealth risks shrinking the whole pie. He compares capitalism to democracy: the worst system except for the alternatives.

Populist taxation: Wealth taxes, very high marginal rates, and rhetoric against the rich illustrate political appeal versus economic consequences. Marks asks whether punitive taxation reduces incentives, pushes high earners away, and undermines the innovation/investment engine.

Simple questions, complex consequences: Marks lists politically appealing questions - tariffs, worker control, rent control, government jobs, minimum wage increases - and shows that each has possible costs. The core warning is that political benefits are obvious immediately, while economic costs appear later and through second/third-order effects.

"Growing the Pie" begins (Mar 2019).

Event context: After the Oaktree-Brookfield partnership announcement, Marks returns to populism, inequality, anti-capitalist rhetoric, and the question of whether society should focus on redistribution or growth. The memo begins by connecting the debate to his January 2019 warning.

Pages 1171-1190 - Growing the Pie, "This Time It's Different," and Fed Ambiguity

"Growing the Pie" completed (Apr 1, 2019).

Event context: Left-populist critiques of capitalism were rising, Amazon had cancelled its HQ2 expansion in Queens, and wealth/income inequality had become a central political issue. Marks frames the debate using Ray Dalio's distinction: right populists may fail at dividing the pie, while left populists may fail at growing it.

Capitalism's unequal blessing: Marks argues capitalism creates a larger pie because it rewards ability, effort, risk-taking, and ownership. It also distributes gains unequally. Socialism aims at fairer distribution, but historically risks equalizing misery rather than expanding prosperity.

China agriculture case: Marks uses China's post-Mao agricultural reforms as a natural experiment: decollectivization, market incentives, specialization, and household farming dramatically increased output and incomes, while also increasing inequality and reducing some collective services. The lesson: incentives grow the pie, but you cannot have all desirable outcomes at once.

Amazon HQ2 as case study: New York's rejection of Amazon's Long Island City headquarters becomes Marks' practical example. Opponents focused on resentment toward Amazon/Bezos and the headline $3B incentive, but Marks argues there was no existing $3B cash pile to reallocate. The subsidy was contingent on future tax revenue. No Amazon meant no subsidy paid, but also no jobs and no net tax gain.

Responsible capitalism: Marks does not defend "dog eat dog." He argues business should help address stagnant and unequal incomes to preserve the legitimacy of capitalism. The solution, in his view, is responsible capitalism that expands the pie, not resentment-driven policies that shrink it.

"This Time It's Different" (June 12, 2019).

Event context: The U.S. recovery was about to become the longest on record, rates were low, deficits and debt were rising, tech/growth stocks were dominant, profitless companies were being valued richly, and investors were increasingly comfortable with claims that historical constraints no longer applied.

Nine optimistic propositions: Marks lists the 2019 versions of "this time it's different": no recession needed, permanent prosperity from QE, benign deficits, harmless national debt, strength without inflation, lower-for-longer rates, inverted yield curve not negative, profitless companies can thrive, and growth can beat value indefinitely.

Constraints may change, but do not disappear: Marks allows that some things truly differ, especially technology and business models. His warning is against treating partial truth as unlimited permission. Even great companies can be overpriced; even low rates can create side effects; even QE can pull demand forward rather than create permanent prosperity.

MMT and deficits: Marks treats Modern Monetary Theory as an example of seductive economic permission: countries controlling their own currency may tolerate more debt than expected, but credibility can erode and sentiment can change. "It might work" is not enough to bet the ranch.

Profitless success and growth vs value: Profitless companies can be valuable if future profits are real and not overpriced. Growth stocks can deserve premiums. But paying infinity for future promise repeats the Nifty Fifty and dot-com mistake: business excellence and investment excellence are not the same thing.

Three stages revisited: The nine propositions share a late-bull-market flavor: they sound like "things can only get better forever." Marks returns to the three stages of a bull market and warns that the third stage is when investors treat optimistic extrapolation as inevitability.

"On the Other Hand" begins (July 2019).

Event context: After "This Time It's Different," Marks adds a follow-up focused on the Fed. Powell had signaled willingness to sustain expansion amid trade-war risk, raising the question: should the Fed try to prevent every recession or market dislocation?

Fed action as ambiguous signal: First-level investors treat rate cuts as buy signals. Second-level investors ask why the cut is needed and what weakness the Fed sees. A large "medicine dose" may indicate a serious ailment.

Pages 1191-1210 - Low Rates, Negative Rates, and Thinking in Bets

"On the Other Hand" completed (July 26, 2019).

Event context: Markets were rallying on expectations of Fed rate cuts while the U.S. economy was still expanding and unemployment was low. Trade-war uncertainty made the Fed's task harder, and President Trump was publicly pressuring Powell for lower rates.

Rate cuts are ambiguous: Low rates stimulate spending, investment, asset prices, and risk-taking. But a rate cut also means the Fed sees enough trouble to justify intervention. Marks compares this to a doctor using a large needle: maybe helpful, but not automatically good news.

Low-rate downsides: Low rates can overheat economies, punish savers, push investors out the risk curve, inflate asset prices, encourage leverage, and reduce the Fed's future room to cut. The same tool that stabilizes one downturn can plant seeds for future fragility.

Fed psychology: Fed actions work partly because people believe they work. Rate cuts change behavior through confidence, not only mechanics. That makes central banking a psychological exercise as much as an economic one.

Recessions: avoidable or postponable?: Marks asks whether trying to prevent every recession creates moral hazard and a larger eventual recession. Small corrections may clear excess; suppressing all of them may let fuel accumulate.

"Mysterious" (Oct 17, 2019).

Event context: Negative interest rates had spread across Europe and Japan, with trillions in bonds yielding less than zero. Marks writes because the phenomenon violates many long-standing financial assumptions.

Negative rates invert finance: Lenders pay borrowers; compound interest works backward; savers and income-dependent investors are punished; banks and insurers face warped business models; valuation models built on positive risk-free rates may break.

Why buy negative-yield bonds?: Fear, flight to safety, expected deflation, currency appreciation, regulatory requirements, and speculation on rates going even more negative can all make the behavior rational at the individual level.

Systemic uncertainty: Negative rates may stimulate, or they may signal pessimism so strongly that consumers save more. Marks' key point is humility: when a phenomenon has little historical precedent, confident claims about its consequences are suspect.

Response: In a negative-rate world, the answer may be to move out the risk curve, but with caution. Marks prefers durable cash flows over moonshots: assets likely to produce dependable earnings or distributions, purchased at prices that still allow a return.

"You Bet!" begins (Jan 2020).

Event context: Before COVID appears in the memo collection, Marks starts 2020 with decision-making under uncertainty, drawing on his Wharton reading, a lifetime of games, and Annie Duke's Thinking in Bets.

Decision quality vs outcome: Marks restates one of his earliest lessons: you cannot judge decision quality from outcome alone. Good decisions can fail because of missing information or luck; bad decisions can succeed. This directly extends decision-quality-vs-outcome.

Games as investing analogies: Backgammon, blackjack, gin, bridge, poker, and betting all train probabilistic thinking. No strategy is always right. The skilled player knows odds, updates with new information, sizes bets, and accepts that uncertainty never disappears.

Pages 1211-1230 - Propositions, COVID Uncertainty, and First Pandemic Response

"You Bet!" completed (Jan 13, 2020).

Event context: Written just before COVID became the dominant market event, this memo crystallizes Marks' decision-making philosophy through gambling, games, C. Jackson Grayson, and Annie Duke.

Three dimensions of games: Games differ by hidden information, luck, and skill. Chess has no hidden information and no luck; backgammon has luck and skill; roulette has luck without skill; poker/blackjack have hidden information, luck, and skill. Marks maps active investing to the poker/blackjack category: hidden information, random outcomes, and room for skill.

Favorite vs proposition: Success does not come from picking the favorite. It comes from comparing probability to payoff. A great company can be a bad investment if the price is too high; a poor-quality bond can be a good investment if the price more than compensates for risk.

Bet sizing: The goal is not merely to win more often. It is to win more when the proposition is favorable and lose less when edge is weak. This links decision quality, odds, payoff asymmetry, and risk of ruin.

Game selection and circle of competence: Andrew Marks' contribution emphasizes choosing arenas where one has skill and the competition is weaker, sitting out bad hands, adjusting to the environment, and resisting emotional chasing. This is the gambling version of Oaktree's selective, defensive philosophy.

"Nobody Knows II" (Mar 3, 2020).

Event context: COVID had triggered a seven-day market correction and the S&P 500 had just rallied sharply after the memo was drafted. Marks reuses the "Nobody Knows" title from September 2008 because the core condition is epistemic uncertainty.

Facts, inferences, guesses: Marks separates what is known, what scientists infer by analogy, and what non-experts merely guess. Questions about transmission, case counts, seasonality, death rates, countermeasures, economic impact, and market reaction were not yet answerable.

Economic impact: Early effects included China shutdowns, Asian retail/travel weakness, supply-chain disruption, cancelled travel, and possible closures in the U.S. The magnitude could not yet be quantified because both the disease path and behavior response were changing.

Investor reaction: The selloff was severe, but the key question was whether the price decline was proportional to fundamental deterioration. Bad news plus declining psychology creates price declines; if psychology falls too far, prices can overshoot the fundamentals.

Policy limits: Markets expected central banks and treasuries to help, but the Fed entered COVID with only limited rate-cut ammunition because rates were already low. Fiscal stimulus would add to debt. Marks warns against assuming policy can fully offset a disease shock.

Buying under uncertainty: Marks says it is probably "a time" to buy, not "the time." The right question is not whether prices will fall further, but whether price has become attractive relative to value. Since nobody knows the path, the rational approach is staged buying: spend part of the intended capital now, keep some for lower prices, and accept uncertainty.

"Latest Update" begins (Mar 2020).

Event context: The crisis was accelerating. Marks shifts from literary memo-writing to frequent updates. The first topic is flattening the curve, exponential growth, business closures, job losses, supply-chain disruption, healthcare strain, and the trade-off between public health restrictions and economic pain.

Pages 1231-1250 - COVID Panic, Fed Rescue, and Portfolio Calibration

"Latest Update" completed (Mar 19, 2020).

Event context: Written in the first month of the COVID market crash. Hospitals, unemployment, forced selling, and emergency policy responses were all moving faster than normal institutional processes. The Fed cut rates to zero, revived crisis-era liquidity facilities, and acted much faster than in 2008.

Market panic and forced selling: Marks notes that big down days were followed by big up days, showing chaos rather than clarity. Gold, Bitcoin, risk parity, and algorithmic funds all failed to behave as "safe" miracle assets. Credit markets showed forced selling, margin-call pressure, redemption preparation, and weak dealer risk appetite.

Buying without waiting for the bottom: Marks restates a crucial crisis rule: "the bottom" is knowable only in hindsight. The practical question is whether value is available, not whether prices can fall further. The right response is staged buying based on price versus value.

"Which Way Now?" (Mar 31, 2020).

Event context: After the fastest S&P 500 bear-market decline in history and then the best three-day rally since the 1930s, Marks catalogues both the optimistic and pessimistic COVID scenarios. The memo reacts to the tension between disease progression, economic shutdown, and Fed/Treasury rescue.

Scenario discipline: Rather than forecast, Marks lists the positive case and negative case. The memo models how to think under uncertainty without pretending to know.

"Calibrating" begins (Apr 6, 2020).

Event context: Marks reviews the four March memos and turns them into a portfolio-positioning lesson. His message shifted as prices shifted: not all-in, not all-out, but increasingly open to buying as fear and cheapness rose.

Offense/defense dial: The key portfolio decision is the balance between offense and defense, not the exact stock/bond allocation. When prices are high and risk tolerance is high, lean defensive; when prices are lower and sellers are frightened, move toward offense. This is calibration, not market timing.

Pages 1251-1270 - Knowledge of the Future and Epistemic Humility

"Calibrating" completed (Apr 6, 2020).

Buying on the way down: Waiting for a clear bottom can make investors miss the actual window. In 2008, Oaktree bought aggressively in Q4 even though prices kept falling; later, forced sellers disappeared. If something is cheap relative to intrinsic value, buy some; if it gets cheaper, buy more.

"Knowledge of the Future" (Apr 14, 2020).

Event context: COVID produced four unprecedented forces at once: pandemic, economic contraction, oil-price collapse, and massive government intervention. Marks uses Marc Lipsitch's distinction between facts, informed extrapolation, and guesses to describe investment forecasting.

Future knowledge as oxymoron: Investing requires positioning capital for future developments, but the future is not knowable in any strong sense. Most "analysis," "projection," and "forecasting" is really guesswork wearing professional clothing. This deepens epistemic-humility and decision-quality-vs-outcome.

Public-health trade-off: Reopening is not merely an epidemiological question. It involves value judgments between lives, economic damage, individual freedom, and social trust. Marks uses the automobile analogy: society tolerates some risk because eliminating all risk would destroy other goods.

Fed moral hazard question: Marks accepts that the Fed/Treasury response was necessary, but asks whether rescuing leveraged lenders, buying high-yield ETFs, and relaxing accounting rules teach investors that the government will protect them from loss.

"Uncertainty" begins (May 11, 2020).

Event context: After six straight weekly memos, Marks pauses the news-driven updates and writes directly about uncertainty. The pandemic, economic contraction, oil shock, and policy response created a setting with little relevant precedent.

Economics is not physics: Economic patterns are tendencies, not laws. If something has not been experienced before, nobody can honestly claim to know how it will turn out.

Pages 1271-1290 - Radical Uncertainty, Social Justice, and the 2020 Rally

"Uncertainty" completed (May 11, 2020).

Epistemic humility: Marks emphasizes that confidence is necessary in investing but lethal in excess. The larger the topic - world, economy, rates, currencies, markets - the less likely anyone has superior knowledge. Good investors need confidence calibrated to evidence.

"Uncertainty II" (May 28, 2020).

Event context: A postscript to "Uncertainty," written after Marks encountered Mark Lilla's argument that humans crave prophets during danger even though the future is path-dependent.

Path dependence: The future does not already exist waiting to be predicted. It is created by many future decisions: disease behavior, reopening policy, individual behavior, vaccine development, elections, and institutional responses.

Choosing experts is itself a skill: Non-experts often lack not only domain knowledge but also the ability to identify the true experts. Expertise is narrow; predictive ability is different from factual knowledge; rich or successful people should not be treated as universal authorities.

Tail-end risk: Marks cites Morgan Housel's skiing story to show that average consequences are not enough. The rare tail consequences are what shape history. This extends Marks' long-standing "You Can't Predict. You Can Prepare" stance.

"Not Enough" (Jun 11, 2020).

Event context: Written after George Floyd's killing and the protests that followed. It is less an investment memo than a statement on racial injustice, economic inequality, and Oaktree's responsibility to act.

Inequality link: Marks connects racial injustice to broader economic inequality: growing the pie is not enough if the division of the pie remains intolerably unequal. COVID made this more visible because lower-income and minority workers bore greater health, employment, and housing risks.

"The Anatomy of a Rally" begins (Jun 18, 2020).

Event context: The S&P 500 had fallen 34% in five weeks and then rallied almost 45% from the March 23 low by June 8. Marks asks whether markets had decoupled from reality.

Rally ingredients: Investors looked across the valley, trusted Fed/Treasury support, accepted falling rates as valuation support, revived "buy the dips," embraced FOMO, and treated winners and reopening losers optimistically. Marks does not call the rally impossible, but argues the odds had become less attractive.

Pages 1291-1310 - Non-Cyclical Crisis, Low Rates, and Value vs Growth

"Time for Thinking" (Aug 2020).

Event context: After the initial pandemic rush, Marks uses the slower summer period to think through the health crisis, the economic coma, and the market's rebound.

Economy as induced coma: Policymakers intentionally shut down the economy to slow disease spread, then used fiscal and monetary life support to replace missing cash flows. Marks distinguishes support from stimulus: the goal was not to accelerate normal activity but to keep households, businesses, and governments alive while activity was frozen.

Failure to complete the cure: Reopening before COVID was controlled created the "worst of both worlds": deep economic damage plus continued disease spread. Because the cause was medical rather than economic, ordinary economic tools could not fully repair it.

Not a normal cycle: Marks argues the 2020 downturn was not a standard market cycle caused by overexpansion, euphoria, or disappointed growth expectations. It was an exogenous shock, so normal cycle analysis only partly applies.

"Coming into Focus" begins (Oct 2020).

Event context: Markets had recovered much faster than the economy. Marks explains why the recovery was unusual: record policy support, no lasting credit crunch, widespread capital availability, and a brief window for bargains.

Power of interest rates: Low rates stimulate borrowing, raise DCF values, lower returns along the capital market line, increase valuations, force return-seeking, and reopen credit markets. This becomes the central mechanism for low-rate-world.

Tech and index composition: Marks notes that leading technology companies may deserve higher multiples because of scale, network effects, margin potential, and pandemic acceleration. But "no price too high" remains the sign of bubble thinking.

Pages 1311-1330 - Rescue Side Effects and the False Value/Growth Divide

"Coming into Focus" completed (Oct 13, 2020).

Event context: Marks reflects on the consequences of a rescue so fast and powerful that it prevented the usual crisis opportunity set. In past crises, lack of money and nerve created bargains; in 2020, Fed/Treasury support gave many investors both.

Potential downside of rescue: Zero rates leave less room for future cuts; bailouts can create moral hazard; deficit spending and bond buying may produce inflation, dollar weakness, higher rates, or reserve-currency questions; and asset appreciation worsens wealth inequality. Marks still says the rescue was necessary.

Return to low-return world: After a brief March bargain window, markets were again characterized by high uncertainty, low prospective returns, full prices, and risk-seeking behavior. The recommended stance becomes normal-to-defensive rather than aggressively bullish.

"Something of Value" begins (Jan 2021).

Event context: Living with his son Andrew during the pandemic pushed Marks to reconsider the value/growth divide. Growth stocks had massively outperformed value stocks, and readers were asking whether value investing was dead.

Value investing redefined: Value investing is not "buy low P/E." It is buying below intrinsic value. Growth is one ingredient in value, not the opposite of it. Low multiples can be value traps; high growth can be genuine value if future cash flows justify the price. See value-vs-growth-investing.

Pages 1331-1350 - 2020 Review and Inflation as the New Macro Question

"Something of Value" completed (Jan 2021).

Event context: Marks completes the value/growth reconsideration. His older credit/value instincts were shaped by Nifty Fifty scars, bond investing as a "negative art," and Depression-era family conservatism. Andrew's growth orientation broadened his view.

False dichotomy: The useful distinction is not value versus growth but sound valuation versus unsound valuation. Investors need the whole toolbox: present cash flows, future growth, competitive advantage, discount rates, and price discipline.

"2020 in Review" (early 2021).

Event context: Marks reviews the extremes of 2020: pandemic deaths, record GDP collapse and rebound, record unemployment claims, huge Fed/Treasury support, brief March selling, record bond issuance, and rapid market recovery.

Oaktree lesson: Prior caution reduced damage and preserved the ability to buy in March. But the opportunity was unusually brief because policy reopened markets quickly. Oaktree deployed heavily in closed-end funds and raised a record distressed debt fund.

Organizational context: The memo also records Oaktree's pandemic operations, diversity/inclusion actions after George Floyd, ESG build-out, and Power Opportunities track record. These are less central to Marks' investment philosophy but useful institutional context.

"Thinking About Macro" begins (Jul 2021).

Event context: Inflation became the central post-2020 question after trillions in fiscal support, Fed bond buying, supply-chain bottlenecks, rising home/material/labor prices, and CPI prints above 4-5%.

Important but not knowable: Marks repeats Buffett's filter: information must be important and knowable. Inflation is important, but Marks doubts it is knowable with enough precision to drive heavy bets.

Pages 1351-1370 - Inflation, Fed Policy, and Big Macro Changes

"Thinking About Macro" completed (Jul 29, 2021).

Inflation debate: Marks lays out both sides. The persistent-inflation case includes stimulus, money creation, demand-pull and cost-push pressure, labor shortages, and MMT-style deficits. The transitory case includes restart bottlenecks, temporary savings bulges, labor normalization, slower growth, technology, automation, and globalization.

Fed dilemma: The Fed is prioritizing employment and recovery over immediate inflation suppression. Marks accepts the 2020 rescue but worries about moral hazard, asset inflation, inequality, reduced future policy ammunition, and the possibility that a "Fed put" encourages leverage.

Prepare, don't predict: Marks does not advocate a radical macro bet. He suggests marginal preparation for inflation and higher rates: less long-duration bond exposure, more floating-rate debt, real estate with rent resets, and companies with pricing power or fast earnings growth.

"The Winds of Change" begins (Nov 23, 2021).

Event context: Vaccines, Delta, inflation, political division, inequality, climate, and technological change made the post-pandemic environment feel both stagnant day-to-day and structurally transformed.

Big macro vs little macro: Marks distinguishes short-term macro guesses from slow structural changes worth watching: technology displacing labor, work patterns changing, political polarization, generational inequity, China, Fed activism, and the normalization of "trillions."

Technology and work: Information-based businesses scale with less labor than agriculture or manufacturing. Technology can raise GDP while displacing workers, creating a social problem that money transfers alone may not solve.

Political/institutional fragility: Marks expands the 2016 political reality theme: media fragmentation, clustering, gerrymandering, Electoral College distortions, Senate structure, filibuster dynamics, and extreme partisanship make U.S. governance less responsive to majority preference.

Pages 1371-1390 - Selling, Energy Security, and the Globalization Pendulum

"The Winds of Change" completed (Nov 23, 2021).

Generational inequity: Marks argues that deficit spending, unfixed Social Security/Medicare obligations, and environmental depletion shift costs from Baby Boomers to future generations. This is political economy as intergenerational portfolio management.

Fed as market actor: The Fed's role has expanded from inflation/employment to market support and possibly climate concerns. Marks worries that a market in which the Fed is the main marginal buyer of government debt is not a true free market in money.

China transition: Marks frames China's challenge as multiple simultaneous transitions: farm to city, agriculture to services/manufacturing, poverty to middle class, exports to consumption, capital-led to organic growth, emerging nation to world power. The key tension is central control plus private enterprise.

"Selling Out" (Jan 2022).

Event context: After the 2020-2021 rally in growth assets, Marks writes a full memo on selling. It extends lessons from "Liquidity" and "Something of Value."

Selling psychology: Investors sell because things are up and they fear losing gains, or because things are down and they fear further embarrassment. Neither is analytically sufficient. The right sale depends on relative selection: thesis quality, alternative opportunities, position size, and opportunity cost. See long-term-compounding-vs-market-timing.

"The Pendulum in International Affairs" begins (Mar 2022).

Event context: Russia's invasion of Ukraine exposed Europe's dependence on Russian energy. Marks uses this as a case study in the pendulum between globalization/cost minimization and security/resilience.

Security vs efficiency: Germany and Europe reduced domestic/nuclear energy options partly for environmental reasons, increasing dependence on Russian oil and gas. The memo links this to semiconductor dependence on Taiwan/South Korea and broader offshoring. See supply-chain-resilience.

Pages 1391-1410 - Deglobalization, Bull Market Rhymes, and Market Mind

"The Pendulum in International Affairs" completed (Mar 23, 2022).

Globalization trade-off: Offshoring lowered goods prices and helped suppress U.S. inflation, but hollowed out domestic manufacturing, weakened labor, and created foreign dependency. The Ukraine war and semiconductor shortage made the hidden costs visible. Marks expects a swing toward safer, surer sourcing even if it is less efficient.

"Bull Market Rhymes" (May 26, 2022).

Event context: After the 2020-2021 rebound, inflation, Ukraine, rising rates, and sharp declines in tech, SPACs, meme stocks, and crypto, Marks compares the episode with prior bull markets.

Bull market psychology: A true bull market is not just a 20% rise; it is a psychological state marked by optimism, FOMO, risk tolerance, belief in a "new thing," and declining concern for price. FAAMG enthusiasm, SPACs, retail trading, meme stocks, and crypto all played this role in 2020-2021.

Rhymes, not repeats: History does not repeat mechanically, but investor behavior rhymes. The repeated pattern is excesses and corrections: prices overshoot fair value when optimism dominates and undershoot when pessimism takes over. This is investment-fashion-cycles and confidence-cycle in live form.

"Conversation at Panmure House" begins (Jun 23, 2022).

Event context: A transcript from a cognitive economics symposium at Adam Smith's final residence. It lets Marks restate his theory of markets as psychological systems rather than mechanical systems.

Market mind: Marks clarifies that the pendulum is a mood swing, not a predictable physics device. Economics is not physics because people have feelings. The efficient market hypothesis is useful as a baseline, but real markets can move from flawless to hopeless because the participants are not always rational and objective.

Pages 1411-1430 - Active Difference, Contrarianism, and Macro Forecasting Revisited

"Conversation at Panmure House" completed (Jun 23, 2022).

Active/passive reflexivity: Passive investing works because active investors still perform price discovery. If active investing shrinks enough, prices can diverge more from value, increasing the future return to active effort. This expands active-management-as-error-detection.

Computers vs judgment: Marks argues computers can beat most people, but likely not the best people in domains requiring qualitative judgment: business plans, CEOs, private assets, negotiation, long-term moat assessment, and sparse-data situations.

"I Beg to Differ" (Jul 26, 2022).

Event context: After 2022's market correction and renewed recession/inflation/rate fears, Marks returns to his oldest active-management themes: difference, second-level thinking, and contrarianism.

Active bets are double-edged: To outperform, one must depart from consensus. But every active bet creates the possibility of underperformance. "Try to be right" always includes "run the risk of being wrong." Investors must consciously choose between average performance and the discomfort of trying to be superior.

Contrarianism is not automatic opposition: A good contrarian must know what the herd is doing, why it is doing it, what is wrong with that behavior, and what action follows. Merely doing the opposite is first-level contrarianism.

Time, not timing: Marks argues that many investors focus on short-term inflation, rate, and recession questions despite limited ability to know them or act usefully on them. Long-term investors can diverge from the pack by ignoring short-term noise and focusing on durable capital deployment.

"The Illusion of Knowledge" begins (Sep 2022).

Event context: The memo opens after a lunch where intelligent people debated inflation, recession, Ukraine, Taiwan, and elections despite having no special expertise in most of those topics. Marks sets up a fuller explanation of why macro forecasts rarely help.

Reliable process test: A useful forecast would require a reliable process that converts many unstable economic, political, behavioral, and geopolitical inputs into a dependable output. Marks doubts such a process exists. This continues epistemic-humility and the "I don't know" school.

Pages 1431-1458 - Forecasting Machines and What Really Matters

"The Illusion of Knowledge" completed (Sep 2022).

Event context: Written during the post-COVID inflation shock, Russia/Ukraine energy disruption, Fed tightening, and recession debate. Marks uses that moment to attack the confidence of macro models: forecasting inflation would require correct assumptions about consumers, supply chains, energy, Ukraine, Fed policy, labor markets, psychology, and political reactions.

Models are assumption stacks: Economies are not physics systems. They contain people with emotions, incentives, prestige preferences, risk appetites, and changing behavior. A model can work when assumptions are not violated, but the moments investors most need help - inflection points - are exactly when assumptions break.

Stationarity fails in markets: Morgan Housel's stationarity point becomes a Marks framework: the past is useful, but systems involving human behavior are not stable enough for past relationships to become laws. Phillips-curve failure, COVID, and inflation all show why "the future resembles the past" is a dangerous default.

Single-scenario forecasting: Marks restates the chain problem: if an investor predicts A, then B, then C, then D, then stock E, every link must be correct. Even if each link is 67% likely, five links compound to only about 13%. This deepens epistemic-humility.

"What Really Matters?" begins (Nov 2022).

Event context: After a year dominated by inflation, Fed hikes, recession forecasts, and rate-cut speculation, Marks asks what investors should stop caring about. The answer: most short-term macro questions.

Expectations matter more than events: Prices react not simply to whether news is good or bad, but to whether it is better or worse than expectations already embedded in price. This is why short-term trading around macro headlines is usually a trap.

Volatility is not default risk: In credit, interim price volatility can be mostly irrelevant if the borrower pays. The real risk is default or permanent impairment. This is one reason Marks is skeptical of Sharpe-ratio thinking and volatility laundering in private funds.

Asymmetry as investment excellence: The best investors make more in good markets than they give back in bad ones, or lose less in bad markets without missing too much upside. Alpha should show up as asymmetry, not merely higher beta or hidden leverage.

Pages 1459-1478 - Sea Change, SVB, and Market Temperature

"Sea Change" (Dec 2022).

Event context: Inflation forced the Fed into one of the fastest hiking cycles on record. Marks argues this was not a normal cyclical wiggle but the third true sea change of his career: after 40 years of declining rates, investors entered a world where money was no longer free.

Three sea changes: (1) The 1970s/1980s acceptance that risk can be borne intelligently for return, enabling high yield, private equity, distressed debt, and structured credit. (2) Volcker's defeat of inflation and the four-decade decline in rates, which became a moving walkway for asset owners and leveraged buyers. (3) The 2022 return of inflation and higher rates, likely ending the easy-money regime.

Investment implication: The 2009-2021 environment rewarded asset ownership, leverage, growth, and duration. The new environment improves the relative appeal of credit: higher yields, better creditor protections, and equity-like contractual returns without relying as much on multiple expansion. See sea-change-in-rates.

"Lessons from Silicon Valley Bank" (Mar 2023).

Event context: SVB failed after a rapid deposit run exposed a basic asset/liability mismatch: long-duration securities funded by flighty deposits. Marks frames the event as an example of how rising rates reveal mistakes made during easy money.

SVB lesson: Duration risk, concentration risk, uninsured deposits, accounting treatment, and technology-enabled runs matter. The bank was not simply a victim of bad luck; it held assets whose price sensitivity to rates was incompatible with its funding base.

"Taking the Temperature" (2023).

Event context: After 2022's reset, investors wanted to know whether the market had become cheap enough. Marks returns to calibration rather than prediction: read the market temperature by looking at psychology, credit terms, issuance, risk premiums, investor eagerness, and whether good/bad news is being overemphasized.

Temperature is a positioning tool: It does not tell you when the market will turn. It tells you whether to lean more aggressive or more defensive. This is Marks' repeatable answer to the impossible question "what happens next?"

Pages 1479-1502 - Fewer Losers, Further Sea Change, and Credit's Moment

"Fewer Losers, or More Winners?" (2023).

Event context: With credit yields newly competitive after the rate reset, Marks distinguishes the skill required in credit from the skill required in equities.

Credit as a negative art: Equity investing can be driven by finding big winners. Credit investing is mostly about excluding losers, because the upside is contractually capped while the downside can be severe. The credit investor's job is to avoid default, demand enough spread, and structure protections. See credit-investing-as-negative-art.

"Further Thoughts on Sea Change" (2023).

Event context: Marks responds to client conversations after "Sea Change." Many investors had spent their whole career in declining or ultra-low rates, so they treated the 2009-2021 world as normal. Marks says that memory is too short.

Easy era vs. normal era: Near-zero rates subsidized borrowers, lifted asset prices, drove FOMO, compressed yields, and made leverage look smarter than it was. Higher rates do not mean catastrophe; they mean the return of normalcy, where credit selection and bargain buying matter again.

Asset allocation implication: When high yield bonds and loans offer yields near or above long-run equity returns, allocators should ask not "why own credit?" but "why not own much more credit?" That does not eliminate equity upside, but it changes the opportunity-cost math.

Pages 1503-1532 - Easy Money, Risk, and Debt

"Easy Money" (Jan 2024).

Event context: Marks looks back at the post-GFC and post-COVID policies that kept rates near zero and liquidity abundant. SVB and First Republic become examples of behavior encouraged by the easy-money period.

Artificially cheap money distorts behavior: It encourages projects, loans, buyouts, and valuations that would not clear under a higher cost of capital. This links back to low-rate-world and forward to the sea-change thesis: when the subsidy disappears, hidden fragility becomes visible.

"The Indispensability of Risk" (2024).

Event context: After a period when investors sought high returns with minimized volatility, Marks insists that risk is not a bug in investing. It is the source of return.

Risk control, not risk avoidance: The goal is not to avoid all risk but to bear the right risks intelligently, at the right price, with enough margin for error. Eliminating risk usually eliminates return; mispricing risk creates opportunity.

"The Impact of Debt" (May 2024).

Event context: Higher rates made leverage expensive again, while years of easy credit had normalized high debt loads. Marks reuses the GFC lesson: volatility plus leverage can force ruin even when long-term asset value may survive.

Debt amplifies path risk: Leverage does not change whether an asset is good; it changes whether the holder can survive the path. The safe amount of leverage depends on asset volatility, funding stability, and the lender's ability to force repayment. This connects strongly to ergodicity, liquidity-risk, and credit-cycle.

Pages 1533-1575 - Certainty, Economics, Allocation, and Bubble Watch

"The Folly of Certainty" (Jul 2024).

Event context: Triggered by U.S. election commentary after President Biden's June 2024 debate performance. Marks uses political certainty, the 2016 election, Fed inflation calls, recession forecasts, and market reactions to restate the same point: certainty is usually posture, not knowledge.

Correct forecast, wrong profit: A rare investor who correctly predicted no Fed cuts from late 2022 through mid-2024 could still have missed a large stock-market rally. Forecasting the event is not enough; you must also forecast the market reaction.

"Mr. Market Miscalculates" (2024).

Event context: Markets were repeatedly repricing rate-cut expectations and AI enthusiasm. Marks returns to Benjamin Graham's Mr. Market: prices are offers from a moody partner, not proof of value.

"Shall We Repeal the Laws of Economics?" (2024).

Event context: The memo responds to policy and market claims that deficits, rates, inflation, and trade-offs can be ignored. Marks argues that economic laws can be delayed or obscured by policy, but not repealed.

"Ruminating on Asset Allocation" (2024).

Event context: The sea-change thesis becomes an allocator question. If credit can now offer contractual returns near historical equity returns, the old stock/bond/private-equity allocation templates deserve reexamination.

"On Bubble Watch" (Jan 2025).

Event context: AI and mega-cap technology enthusiasm had made bubble questions unavoidable. Marks does not claim to know whether a bubble exists; he focuses on observable behavior: "no price too high" thinking, lottery-ticket math, FOMO, narrative dominance, and weak concern for valuation. See bubble-detection.

Pages 1576-1617 - Tariffs, Credit, and Private Credit Stress

"Gimme Credit" (Mar 2025).

Event context: Private credit had become the fashionable allocation after banks retreated from lending post-GFC. Marks evaluates whether the return premium over public credit is deserved.

Private credit is not magic: The extra return can be fair compensation for illiquidity, opacity, and weaker exit options. It is not necessarily systemic, but it still requires credit skill. The tide had not fully gone out on private credit, so underwriting quality remained partly untested.

"Nobody Knows (Yet Again)" (Apr 2025).

Event context: Written after President Trump's tariff announcement. Marks lists the intended benefits of tariffs - manufacturing support, import discouragement, supply-chain security, negotiation leverage, Treasury revenue - then walks through second- and third-order consequences.

Tariffs as economic-reality test: Tariffs can raise prices, reduce demand, damage margins, invite retaliation, strain alliances, and weaken faith in U.S. Treasurys. The policy goal may be understandable, but the system reaction is complex. This expands economic-reality-vs-political-reality and supply-chain-resilience.

"More on Repealing the Laws of Economics" (2025).

Event context: Marks continues the tariff/economic-law argument. Countries can resist economic laws temporarily through policy, but costs surface somewhere: prices, shortages, retaliation, deficits, debt-service burdens, or reduced trust.

"The Calculus of Value" and "A Look Under the Hood" (2025).

Event context: The market was strong, but concentration and valuation questions were rising. Marks emphasizes looking beneath index-level returns: what is driving gains, what assumptions are embedded, and where the return is actually coming from.

Pages 1618-1630 - Credit Cockroaches and the AI Bubble Question

"Cockroaches in the Coal Mine" (Nov 2025).

Event context: First Brands, Tricolor, Zions Bancorp, Western Alliance, Broadband Telecom, and Bridgevoice raised concerns about fraud or credit problems, especially in private credit. Jamie Dimon warned that one visible problem may imply more hidden ones.

Systemic vs systematic: Marks does not see the events as necessarily systemic like 2008 counterparty risk. Instead, he calls them systematic: good times reduce skepticism, loosen underwriting, and create conditions for frauds and bad loans to cluster. The plumbing may be fine, but behavior still rhymes.

Bezzle cycle: Borrowing Galbraith/Munger, Marks explains that good times create a "bezzle" - apparent wealth from fraud or weak accounting that persists until scrutiny returns. Bad loans are made in good times; panics reveal capital already destroyed.

First Brands lesson: Credit research is mosaic-building. Red flags are rarely decisive alone, but scale, multiple contact points, and second-level inference can identify a weak credit before the market fully prices it. This further supports credit-investing-as-negative-art.

"Is It a Bubble?" begins (late 2025).

Event context: Clients in Asia and the Middle East were asking whether AI had become a bubble. Marks distinguishes two questions: whether AI companies' massive buildout is justified, and whether investors' behavior around AI is bubble-like.

AI bubble anatomy: The memo identifies classic ingredients: transformative technology, huge early gains, envy, FOMO, "newness" that frees imagination from history, circular deals, lottery-ticket thinking, startup valuations detached from products, and rising debt to finance infrastructure.

Inflection bubbles: Marks accepts that some bubbles accelerate real technological progress. Railroads, internet, and possibly AI can build useful infrastructure. But even productive bubbles can destroy investors' capital. The key is to benefit from progress without becoming the capital sacrificed to create it.

Pages 1631-1641 - AI Debt, Bubble Conclusion, and Social Aftermath

"Is It a Bubble?" completed (Dec 9, 2025).

Event context: The final memo closes the collection with AI as the live market question. The issue is no longer only equity enthusiasm; debt is increasingly financing AI infrastructure, data centers, and speculative capacity buildout.

Debt vs equity in AI: Marks draws a sharp distinction. Speculative, winner-take-most technological races are usually better financed with equity, because one big winner can offset many losers. Debt has capped upside and real impairment risk; a diversified pool of AI-infrastructure debt can suffer losses on the losers without participating meaningfully in the winner.

AI infrastructure risk: Data centers, chips, and power infrastructure may be essential, but their useful lives, utilization, rents, and obsolescence risk are uncertain. Vendor financing, SPVs, circular deals, thin coverage ratios, and debt-financed capex resemble prior late-cycle structures.

Moderate position: Marks' bottom line is neither all-in nor all-out. AI may be one of the greatest technologies ever, but enthusiasm, uncertainty, and debt can still produce a bubble. The rational stance is selectivity, prudence, and position sizing that avoids ruin.

Social postscript: Marks ends outside pure investing. AI may replace cognition rather than merely enhance tools. He worries about job loss, entry-level career ladders, fiscal pressure from universal basic income, social purpose, and political backlash if a small group captures the gains while many lose work.

YearMemoCore Idea
1990The Route to PerformanceAvoid losers; defense over offense
1991The PendulumMarkets oscillate; euphoria↔depression
1992Microeconomics 101Price ≠ quality
1993The Value of PredictionsNon-consensus + accurate = rare
1994Risk in Today's MarketsLeverage + volatility = dynamite
1994How Does an Inefficient Market Get That Way?Psychology drives mispricing
1995How the Game Should Be PlayedTom Kite; eliminate mistakes
1996The Value of Predictions IIForecasters measurably wrong
1996Will It Be Different This Time?Cyclicality is constant; 1928-29 parallel
1997Are You an Investor or a Speculator?Intrinsic value vs. price momentum
1998Who Knew?Three stages of bull market
1998Genius Isn't EnoughLTCM; hubris + leverage = ruin
1999How's the Market?Dot-com bubble forming; valuation indifference
2000bubble.comTHE definitive memo; five lessons; written at the top
2000Irrational ExuberanceRational investors punished by staying rational too long
2000Investment MiscellanyBookstaber liquidity framework; fire sales
2002Corporate GovernanceEnron; hubris; auditor conflict
2002The Realist's CreedMarks' own philosophy synthesis
2004Us and Them"I Know" vs. "I Don't Know" school full taxonomy
2005There They Go Again (Apr)12 recurring investor fallacies
2006Risk (Jan)Risk ≠ volatility; 7-type taxonomy; risk intelligence
2006It Is What It Is / MujoCyclicality is inevitable; acceptance over prediction
2006Dare to Be Great (Sep)Unconventionality matrix; agency risk; committee groupthink
2006The New Paradigm (Oct)Risk capital abundance; CDO alchemy; fee-first culture
2006Pigweed (Dec)Amaranth; investor vs. trader vs. bettor; 6 classic mistakes
2007The Race to the Bottom (Feb)Gresham's Law in credit; covenant erosion
2007Everyone Knows (Apr)Perversity of risk; consensus = overpriced
2007It's All Good (Jul)9 polar opposites; leverage bubble; first global bubble
2007It's All Good...Really? (Jul 30)3 contagion mechanisms; virtuous→vicious
2007Now It's All Bad? (Sep 10)Minsky; protection vs. maximizing returns trade-off
2007No Different This Time (Dec 17)12 lessons of credit crises; 7 reasons risk is hard to manage
2008Now What? (Jan 10)Fire sale mechanism; Fed dilemma; cash is king
2008Whodunit (Feb 20)7-party subprime factory; ratings arbitrage; quants critique
2008The Tide Goes Out (Mar 18)Virtuous/vicious circle full; MtM accelerant; "Should" ≠ "Will"
2008The Aviary (May 16)Black Swan; free market canard; regulation limits; forest fire
2008Doesn't Make Sense (Jul 31)Short-termism; unreliable ratings; fear of loss must not be eliminated
2008What Worries Me (Aug 28)Macro: US competitiveness, energy, inequality, debt
2008Nobody Knows (Sep 19)Lehman/AIG panic; no useful plan for total collapse; third stage of bear market
2008Plan B (Oct 15)TARP; credit as belief; CDS daisy chain; symmetric skepticism in panic
2008Volatility + Leverage = DynamitePost-GFC leverage autopsy; asset volatility determines safe leverage
2009The Long ViewGFC as reversal of a multi-decade era of increasing willingness and expansiveness
2009So Much That's False and NuttyPost-crisis inventory of modern investing errors: complexity, illiquidity, risk tolerance
2009TouchstonesQuotations and images explaining the crisis; free markets require fear of loss
2010Post-Rebound Caution (Jan 22)Easy money from crisis lows is gone; caution, selection, and margin for error return
2010I'd Rather Be WrongPolitical gridlock and long-term fiscal problems
2010Warning FlagsTwo risks: losing money vs. missing opportunity; Greece as unanticipated surprise
2010It's Greek to MeEurozone debt crisis; shared credit without shared discipline
2010Stocks/Bonds Fashion CycleHemline analogy; equities and bonds move in and out of favor
2010Open and ShutCredit window opens wide then slams shut; credit cycle as most volatile cycle
2010All That GlittersGold, fiat currency, and the problem of valuing non-cash-flow assets
2011On RegulationRegulatory pendulum; free markets and regulation are both imperfect
2011Open and Shut / Handcuff VolunteersLow rates force investors back into risk assets; cheapness as risk control
2011Down to the WireU.S. debt ceiling; rollover debt culture; politics blocks long-term repair
2011What's Behind the Downturn?Confluence of U.S. downgrade, Europe, recession fears, and market feedback
2011It's All Very TaxingTax fairness, deductions/incentives/loopholes, deficit repair tradeoffs
2012What Can We Do For You?Oaktree's "I don't know" school translated into client expectations and portfolio stance
2012Assessing Performance RecordsPenn endowment case study; absolute vs. relative performance; offense/defense trade-off
2012Déjà Vu All Over Again"Death of Equities" as contrarian history; markets rhyme through repeated behavioral cycles
2012What Are the Chances?Active management as search for mistakes; mispricing, probability, and conviction calibration
2012On Uncertain GroundSlow-growth macro, global landmines, low-return world; move forward, but with caution
2012A Fresh Start (Hopefully)Post-election U.S. politics, fiscal cliff, demographics, and deficit/entitlement constraints
2013DittoRisk-attitude cycle; handcuff volunteers; low rates force bullish action without bullish thought
2013High Yield Bonds TodayLow absolute yields vs. adequate spreads; returns require mistake minimization
2013The Outlook for EquitiesEquity risk premium definitions; future payoff cannot be treated as present fact
2013The Role of ConfidenceConfidence as self-fulfilling economic/market force; all-good/all-bad thinking
2013The Race Is OnCapital-market cycle reopening; lenders compete by weakening terms
2014Weak Games / Market EfficiencyEfficient markets as rebuttable presumption; structural vs. cyclical inefficiency
2014Dare to Be Great IISuperior results require different portfolios and tolerance for being wrong
2014Risk RevisitedExpanded risk taxonomy; FOMO risk; risk is hidden, multifaceted, and counterintuitive
2014The Lessons of OilOil-price collapse; failure of imagination; second-order consequences and contagion
2015LiquidityLiquidity as transient; ETFs/funds cannot be more liquid than their underlying assets
2015Risk Revisited AgainExpanded restatement of risk as permanent loss rather than volatility
2015It's Not EasyMunger's warning; second-level thinking as prerequisite for superior results
2016On the CouchMarket psychology after China/oil/credit scare; tipping point from complacency to fear
2016What Does the Market Know?Market as sentiment barometer, not superior intelligence; 2008 feedback loops
2016Economic RealityScarcity, trade-offs, stimulus limits, tariffs, minimum wages, and policy consequences
2016Political RealityBrexit and election politics as denial of economic trade-offs
2016Implications of the ElectionTrump, voter anger, globalization/automation dislocation, and need for bipartisan repair
2016Go Figure!Trump election and market reaction; events and market responses are both hard to forecast
2017Expert OpinionBrexit/Trump/Italy polling failures; experts, media, and the lack of scored forecasting records
2017Lines in the SandSubscription lines; IRR optics vs real wealth; hidden crisis linkages
2017There They Go Again . . . AgainLow returns, high prices, low VIX, FAANG enthusiasm, and boom ingredients
2017Yet Again?Clarifies calibration vs market timing; responds to crypto criticism and FOMO objections
2018Latest ThinkingTax law, market pros/cons, late-cycle caution, and fiscal pro-cyclicality
2018Investing Without PeoplePassive investing, ETFs, quants, AI, and markets with fewer human price-setters
2018The Seven Worst Words in the World"Too much money chasing too few deals"; late-cycle debt quality and direct lending warning
2019Political Reality Meets Economic RealityTariffs, capitalism, populist taxation, and second-order policy consequences
2019Growing the PiePopulism, inequality, capitalism, and redistribution vs. growth begins
2019This Time It's DifferentNine optimistic propositions: recession, QE, deficits, debt, inflation, rates, yield curve, profitless companies, growth/value
2019On the Other HandFed rate cuts, stimulus ambiguity, and whether recessions are avoidable or merely postponable
2019MysteriousNegative interest rates and the collapse of normal compounding/valuation assumptions
2020You Bet!Decision quality vs outcome, probabilistic thinking, games, and Annie Duke's betting framework
2020Nobody Knows IICOVID uncertainty; facts/inferences/guesses; staged buying under price/value uncertainty
2020Latest UpdateCOVID curve-flattening, closures, job losses, and fiscal/monetary crisis response begins
2020Which Way Now?COVID scenarios; disease/economy/Fed trade-off under unprecedented uncertainty
2020CalibratingOffense/defense dial; buy value without waiting for the exact bottom
2020Knowledge of the FutureFuture knowledge as oxymoron; facts/inferences/guesses applied to investing
2020Uncertainty / Uncertainty IIEpistemic humility, path dependence, expert selection, and tail risk
2020Not EnoughGeorge Floyd, racial injustice, inequality, and Oaktree action
2020The Anatomy of a RallyFed/Treasury liquidity, FOMO, and the rapid rebound from COVID lows
2020Time for ThinkingEconomy as induced coma; support vs stimulus; COVID as non-cyclical shock
2020Coming into FocusLow rates, capital market line, tech concentration, and rescue side effects
2021Something of ValueValue vs growth as false dichotomy; growth as part of intrinsic value
20212020 in ReviewPandemic extremes, brief bargain window, Oaktree deployment and fundraising
2021Thinking About MacroInflation debate, Fed dilemma, and prepare-don't-predict portfolio response
2021The Winds of ChangeTechnology, work, politics, generational inequity, China, Fed activism, trillions
2022Selling OutWhen to sell; relative selection, opportunity cost, and long-term compounding
2022The Pendulum in International AffairsUkraine, energy security, semiconductors, and the swing from efficiency to resilience
2022Bull Market Rhymes2020-21 bull market psychology, SPACs, meme stocks, crypto, and corrections
2022Conversation at Panmure HouseMarket mind, economics vs physics, excesses/corrections, active/passive reflexivity
2022I Beg to DifferActive difference, second-level thinking, contrarianism, and risk of being wrong
2022The Illusion of KnowledgeMacro models fail at inflection points; stationarity and single-scenario forecasting are traps
2022What Really Matters?Short-term events, trading mentality, volatility, and one-year performance usually matter less than value, compounding, and asymmetry
2022Sea ChangeEnd of the four-decade declining-rate tailwind; credit becomes newly competitive
2023Lessons from Silicon Valley BankRising rates expose asset/liability mismatch and easy-money errors
2023Taking the TemperatureMarket temperature as calibration tool rather than forecast
2023Fewer Losers, or More Winners?Credit as a negative art: avoid defaults more than chase upside
2023Further Thoughts on Sea ChangeEasy-money memory is too short; normalcy returns
2024Easy MoneyArtificially cheap money distorts behavior and hides fragility
2024The Indispensability of RiskReturn requires bearing risk intelligently, not eliminating it
2024The Impact of DebtLeverage amplifies path risk and creates risk of ruin
2024The Folly of CertaintyPolitical, macro, and market certainty are usually false precision
2024Mr. Market MiscalculatesPrices reflect mood and expectations, not proof of value
2024Shall We Repeal the Laws of Economics?Policy can obscure trade-offs, not abolish them
2024Ruminating on Asset AllocationCredit yields change the allocator's opportunity-cost math
2025On Bubble WatchBubble diagnosis through behavior, valuation, FOMO, and "no price too high" thinking
2025Gimme CreditPrivate credit's premium may be fair but still requires underwriting skill
2025Nobody Knows (Yet Again)Tariffs, second-order consequences, and geopolitical/economic uncertainty
2025More on Repealing the Laws of EconomicsTariff and deficit trade-offs cannot be wished away
2025The Calculus of ValueMarket strength requires looking under index-level returns
2025A Look Under the HoodConcentration and hidden assumptions behind headline performance
2025Cockroaches in the Coal MinePrivate credit/fraud scares; good times create bezzle conditions
2025Is It a Bubble?AI bubble anatomy; debt-financed infrastructure risk; inflection bubbles can build progress and destroy capital

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Connections


Sources

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