Cover of Irrational Exuberance by Robert Shiller

Reading notes · DR·B01·SHI

Irrational Exuberance

Prices move first and the story that justifies them arrives after — Shiller on how a market talks itself into its own valuation.

Reading notes — 39 notes in 13 chapter threads, in our words. Buy the book. Read the lens: Robert Shiller.

Irrational Exuberance reading-notes field card with the book cover and DeadRisk application counts
The book, the notes, and the live company pages that use its ideas.

Chapter 1 — The Stock Market in Historical Perspective

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The book takes its title from Alan Greenspan’s speech of 5 December 1996, and Shiller opens with the reaction: markets from Tokyo to Frankfurt fell within hours on two words in an otherwise dull talk. He then sets out the boom the phrase came to stand for. The Dow was near 3,600 in early 1994, passed 10,000 in March 1999 and peaked at 11,722.98 on 14 January 2000 — roughly tripling in five years while GDP rose less than 40% and corporate profits less than 60%.

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His yardstick is the real S&P Composite divided by ten years of average real earnings, a smoothing he credits to Graham and Dodd. By that measure the ratio reached 47.2 intraday on 24 March 2000, higher than ever before; the nearest rival was 32.6 in September 1929.

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He names three earlier high readings — 25.2 in June 1901, the 1929 peak, and 24.1 in January 1966 — and follows each forward. After September 1929, real returns averaged −13.1% a year for five years and stayed below 1% a year over twenty. After January 1966, real prices were down 56% by December 1974 and did not regain that level until May 1992.

Chapter 2 — The Real Estate Market in Historical Perspective

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This chapter is new to the second edition. Finding no long series of home prices for any country, Shiller built one for the United States back to 1890 from existing indexes and new work by his assistants.

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The series shows no steady upward drift. Real home prices were 66% higher in 2004 than in 1890 — about 0.4% a year — and nearly all of that came in two bursts: around the Second World War, and from 1998 on. Between those spells, prices were mostly flat or falling. He suggests people think otherwise because they remember the nominal price of a house bought decades earlier.

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He measures the strain of the latest rise against income. In the eight most volatile states, the median home went from 4.9 years’ per capita income in 1985 to 7.7 years’ in 2002. Abroad, the boom began sharply around 1997 in Boston, Los Angeles, Paris and Sydney, with London a little earlier.

Chapter 3 — Precipitating Factors: The Capitalist Explosion, the Internet, and Other Events

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Shiller lists twelve events outside the market that helped start the boom, among them what he calls the capitalist explosion, the Internet, the baby boom, more business news, analysts’ optimistic forecasts, the switch to defined contribution pensions, mutual funds, falling inflation, cheap trading and the spread of gambling. He treats them as causes of a mood, not as reasons the prices were right.

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The Internet section asks the sharpest question. New technology need not raise the value of existing companies, since they do not own it, and the Dow held no Internet stocks until 1999; upstarts such as eBay and Amazon took the gains. His point is about perception: “What matters for a stock market boom is not, however, the reality of the Internet revolution, which is hard to discern, but rather the public impressions that the revolution creates.”

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Those impressions, he argues, depend on how easily examples come to mind, and people who spend hours online can summon them at once. A vivid personal experience of a technology is easily taken as proof of its economic weight.

Chapter 4 — Amplification Mechanisms: Naturally Occurring Ponzi Processes

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The precipitating factors alone are too small to explain the boom; this chapter supplies the multiplier. In Shiller’s feedback account, a first rise in prices draws in more buyers, whose demand lifts prices again, which draws in more — each round amplifying the original push. He adds that the loop can run through the wider economy: higher asset prices raise spending, the spending shows up in GDP and profits, and those numbers are then read as good news about fundamentals.

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He uses Ponzi schemes as the controlled case, because the fraud makes the feedback visible. His claim is that markets do not need a fraudster to produce the same shape: “speculative feedback loops that are in effect naturally occurring Ponzi schemes do arise from time to time without the contrivance of a fraudulent manager.” Brokers and fund sellers need not lie; they need only stress the good news.

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The survey evidence is his own. In a Barron’s poll of money managers in April 1999, 72% said the market was in a speculative bubble. In his Yale surveys the share of investors expecting a fall dropped to 7.1% by 2004. He reads the boom’s psychology as a decline in fear of losses more than a rise in hopes for gains.

Chapter 5 — The News Media

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The chapter’s thesis is in its closing section: “The media actively shape public attention and categories of thought, and they create the environment within which the speculative market events we see are played out.” Daily price moves give reporters a story every day, and the competition for attention rewards emotional colour and familiar characters.

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Shiller names one habit “record overload”. Reporters who look at enough data find something near a record on most days, and records measured in Dow points rather than percentages come easily. The result is a public that cannot tell when something truly new is happening.

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He also tests the common belief that big price moves follow big news. A 1989 study he cites listed the fifty largest post-war moves in the S&P and the explanations the press gave; most matched no unusual news. His own survey of investors in the week of the 1987 crash asked what news they had been reacting to. News often works instead as the trigger for an “attention cascade”, in which one story turns the public’s attention to a market that then moves on its own momentum.

Chapter 6 — New Era Economic Thinking

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Talk of a “new era”, Shiller observes, comes in pulses rather than steadily, and the economists who used the term were usually careful. The public version follows prices. In the 1990s the phrase took hold only after the market had risen far enough to amaze people.

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He reverses the usual order of cause: “it appears that the stock market often creates new era theories, as reporters scramble to justify stock market price moves.” A rise in GDP growth from 2% to 3% interests economists but cannot compete for attention with a stock boom, which demands an equally dramatic explanation.

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The chapter traces the pattern through the 1901 peak, the 1920s, the 1950s and 1960s, the 1990s and the housing booms, and closes on how new eras end. For this site its use is as a test of order: a story that arrives after the price has moved is evidence about the price, not about the business.

Chapter 7 — New Eras and Bubbles around the World

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Shiller widens the frame to thirty-six countries, tabulating the twenty-five largest one-year and five-year real price rises and falls before 2000. Huge moves turn out to be common; no American example makes any of the tables.

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He pairs the biggest moves with the stories told at the time and with the financial crises that ended several of them. The section title states the finding plainly: what went up usually came back down.

Chapter 8 — Psychological Anchors for the Market

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With no agreed method for valuing the market, Shiller argues, investors lean on anchors. Quantitative anchors are numbers: the last remembered price, an old price, a round number, a milestone on the Dow. Moral anchors are reasons: a story about why one ought to be invested, weighed against the wish to spend the money now.

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The second kind explains how prices reach extreme levels. A market can stay very high only if holders feel they have good reason not to cash in. Shiller rests this on research showing that people decide by telling stories, citing work by Nancy Pennington and Reid Hastie on how jurors reach verdicts.

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He then discusses overconfidence, intuitive judgment and the fragility of anchors — people’s trouble thinking ahead to decisions they would make if conditions changed, which leaves the anchors less stable than they look.

Chapter 9 — Herd Behavior and Epidemics

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Shiller’s evidence that ideas spread person to person comes partly from his own surveys. In a 1986 study with John Pound, individual investors asked what first drew them to their latest stock purchase named periodicals or newspapers only 6% of the time; most named direct conversation. After the 1987 crash, 81.6% of individual investors in his survey said they had heard about it before 5 p.m. that day.

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He borrows the simplest epidemic model — an infection rate and a removal rate — to describe how an investment idea spreads. With no removal, the number infected follows a logistic curve, rising faster and faster as more people become carriers.

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A later section argues that people hold a pool of conflicting ideas about the market at once, and that shifts in social attention, not new facts, decide which one governs behaviour at a given moment.

Chapter 10 — Efficient Markets, Random Walks, and Bubbles

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Shiller grants the efficient markets theory its strong point: day-to-day price changes cannot be very predictable, or getting rich would be too easy. His quarrel is with the long run.

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His 1981 paper in the American Economic Review asked whether stock prices moved more than later dividends could justify, and found that they did. As the book reports it, the paper concluded that no movement of U.S. stock prices beyond their trend had ever been justified by later dividends.

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He gives cases of plain mispricing. When 3Com sold 5% of Palm in March 2000, the Palm shares implied a value for the rest of Palm greater than the whole of 3Com, which owned it. The cost of borrowing Palm shares to sell short reached 35% a year by July 2000, which kept arbitrageurs from closing the gap.

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The chapter’s chart plots each January’s price-earnings ratio from 1881 to 1995 against the next ten years’ real return. Shiller’s reading: “as a rule and on average, years with low price-earnings ratios have been followed by high returns, and years with high price-earnings ratios have been followed by low or negative returns.” He notes the exceptions and the small number of independent ten-year spans in the data, and still treats the relation as significant.

Chapter 11 — Investor Learning—and Unlearning

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A common defence of high prices in the late 1990s held that the public had learned stocks were less risky than it once thought, helped by Jeremy Siegel’s Stocks for the Long Run (first edition 1994). If so, lower expected returns were simply the rational price of that knowledge.

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Shiller’s main target is James Glassman and Kevin Hassett, whose 1999 book Dow 36,000 argued that investors were still learning the lesson and would keep bidding prices up, with early 2005 as “a sensible target date”. He points out that the book’s own pitch — a lot of money to be made while others caught up — sat oddly with its claim that stocks were as safe as government bonds.

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His wider point is that the sense of having just learned an important truth recurs near peaks, and that what is “learned” in a long rise is often just the rise.

Chapter 12 — Speculative Volatility in a Free Society

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The last chapter turns to policy. Shiller’s first advice is diversification, and much of the rest concerns pensions. The shift since 1982 from defined benefit to defined contribution plans moved market risk onto employees, and he finds the warnings plans give about concentration weak and of little effect.

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He calls it “a serious mistake” to replace social security systems with defined contribution plans invested in the stock market. Reform, in his view, should improve how the systems share risk between groups, not tie retirement income to market returns.

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The remaining sections ask monetary policy to lean gently against bubbles, ask opinion leaders to offer steadying views, and ask that the public be helped to hedge its risks.

Why It Is on This Shelf

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Chapter 5 is the reason a coverage record matters at all. If the press shapes what the public attends to, then how much is written about a company, measured against its own past, is evidence in itself — and so is a sudden silence. That is what this site counts.

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Chapter 6’s test of order applies directly to the AI trade: did the story of a new era come before the price rose, or after? The AI capex page tracks the spending; this book is the check on the explanations offered for the prices that rode on it.

Where this book gets used

19 lens takes on the names we cover work from Irrational Exuberance. Each applies it to a single company and nothing else.
AMD AMD AMD’s earnings and contracts support the AI story, but its price swings and coverage framing leave buyer-recruitment feedback unproved. Alibaba Group Holding BABA Alibaba has evidence that Qwen travels beyond its own products, but the record does not show a price-led story recruiting buyers. Alphabet GOOGL The dominant Google-is-behind story ran three years; the record shows it reversing on a schedule tied to product launches, and once, to a single departure. Amazon AMZN Amazon has a testable AI infrastructure business, but its deals and coverage do not establish the price-to-story-to-buyer loop in Shiller’s framework. Astera Labs ALAB Astera’s revenue growth supports its AI-connectivity story, while the pre-earnings price swing and customer concentration leave room for Shiller’s feedback loop. Cerebras Systems CBRS Cerebras has delivered strong Q1 growth, but its post-IPO price reversal and abrupt coverage surge show Shiller's feedback loop shifting from recruitment to reassessment. Intel INTC Intel’s operating recovery has evidence, but the October record cannot show that its latest price rise recruited buyers through a comeback story. Marvell Technology MRVL Marvell’s expanded Google deal strengthens the operating story, but its price and coverage still show Shiller’s feedback loop outrunning disclosed shipment evidence. Meta META Meta’s higher spending floor is one explanation for its October decline, but the record cannot establish Shiller’s price-story feedback loop. Micron MU Micron’s revenue and capacity plans support the AI-memory story, but the record lacks the cash metrics and buyer evidence needed to prove a self-sustaining supercycle. MiniMax Group 0100.HK A feedback loop this textbook, running mostly through coverage the English-language record barely priced until the peak. Nvidia NVDA The coverage record hit its own high before the stock did — and then it cooled first too. Oracle ORCL Oracle’s AI leasing story has a measurable financing cost, while the record cannot show that the story recruited buyers. Palantir PLTR Palantir's own predicate shift is the epidemic curve Shiller describes, measured instead of asserted. SK Hynix 000660.KS SK Hynix’s HBM lead remains dated and concrete, but Solidigm’s shelved listing shows how share-price conditions can interrupt the financing story built around AI demand. Salesforce CRM Salesforce’s price rebound and Agentforce growth are spreading the agent-era story faster than the supplied record can verify its cash economics. Samsung Electronics 005930.KS Samsung's own record beat estimates on the day the sector was still selling it off, and the reversal two days later carried no new information about Samsung at all. SpaceX SPCX SpaceX’s proposed AI-unit rename gives its valuation story a new label, but the reported name followed the latest price move and leaves the spending test unchanged. TSMC TSM TSMC’s earnings support its AI spending story, but October’s customer and Texas reports do not yet show what that spending will earn.
Distilled reading notes for study — not a substitute for the book. Buy Irrational Exuberance by Robert Shiller. More notes on the shelf; the lenses built from them are at thinkers. DeadRisk is coverage intelligence, not investment advice — methodology.