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Disagreement and the Stock Market
A large catalog of variables with no apparent connection to risk has been shown to forecast stock returns, both in the time series and the cross-section. For instance, we see medium-term momentum and post-earnings drift in returns—the tendency for stocks that have had unusually high past returns or good earnings news to continue to deliver relatively strong returns over the subsequent six to twelve months (and vice-versa for stocks with low past returns or bad earnings news); we also see longer-run fundamental reversion—the tendency for “glamour” stocks with high ratios of market value to earnings, cashflows, or book value to deliver weak returns over the subsequent several years (and vice-versa for “value” stocks with low ratios of market value to fundamentals). To explain these patterns of predictability in stock returns, we advocate a particular class of heterogeneous-agent models that we call “disagreement models.” Disagreement models may incorporate work on gradual information flow, limited attention, and heterogeneous priors, but all highlight the importance of differences in the beliefs of investors. Disagreement models hold the promise of delivering a comprehensive joint account of stock prices and trading volume—and some of the most interesting empirical patterns in the stock market are linked to volume.
Journal Article
Stock cars
\"Speed, danger, and intense competition-these are just a few elements that make stock car racing such a popular sport. See powerful stock cars close up and learn how racing teams build them for speed and safety.\"-- Provided by publisher.
Book
The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes
The media are increasingly recognized as key players in financial markets. I investigate their causal impact on trading and price formation by examining national newspaper strikes in several countries. Trading volume falls 12% on strike days. The dispersion of stock returns and their intraday volatility are reduced by 7%, while aggregate returns are unaffected. Moreover, analysis of return predictability indicates that newspapers propagate news from the previous day. These findings demonstrate that the media contribute to the efficiency of the stock market by improving the dissemination of information among investors and its incorporation into stock prices.
Journal Article
Salience and Asset Prices
We present a simple model of asset pricing in which payoff salience drives investors' demand for risky assets. The key implication is that extreme payoffs receive disproportionate weight in the market valuation of assets. The model accounts for several puzzles in finance in an intuitive way, including preference for assets with a chance of very high payoffs, an aggregate equity premium, and countercyclical variation in stock market returns.
Journal Article
Investor Sentiment in the Stock Market
Investor sentiment, defined broadly, is a belief about future cash flows and investment risks that is not justified by the facts at hand. The question is no longer whether investor sentiment affects stock prices, but how to measure investor sentiment and quantify its effects. One approach is “bottom up,” using biases in individual investor psychology, such as overconfidence, representativeness, and conservatism, to explain how individual investors underreact or overreact to past returns or fundamentals The investor sentiment approach that we develop in this paper is, by contrast, distinctly “top down” and macroeconomic: we take the origin of investor sentiment as exogenous and focus on its empirical effects. We show that it is quite possible to measure investor sentiment and that waves of sentiment have clearly discernible, important, and regular effects on individual firms and on the stock market as a whole. The top-down approach builds on the two broader and more irrefutable assumptions of behavioral finance—sentiment and the limits to arbitrage—to explain which stocks are likely to be most affected by sentiment. In particular, stocks that are difficult to arbitrage or to value are most affected by sentiment.
Journal Article
Stock cars
\"Explains the history of stock cars and the how-to of the sport\"--Provided by publisher.
Book
The First Crash
For nearly three centuries the spectacular rise and fall of the South Sea Company has gripped the public imagination as the most graphic warning to investors of the dangers of unbridled speculation. Yet history repeats itself and the same elemental forces that drove up the price of South Sea shares to dizzying heights in 1720 have in recent years produced the global crash of 1987, the Japanese stock market bubble of the 1980s/90s, and the international dot.com boom of the 1990s. The First Crash throws light on the current debate about investor rationality by re-examining the story of the South Sea Bubble from the standpoint of investors and commentators during and preceding the fateful Bubble year. In absorbing prose, Richard Dale describes the trading techniques of London's Exchange Alley (which included 'modern' transactions such as derivatives) and uses new data, as well as the hitherto neglected writings of a brilliant contemporary financial analyst, to show how investors lost their bearings during the Bubble period in much the same way as during the dot.com boom. The events of 1720, as presented here, offer insights into the nature of financial markets that, being independent of place and time, deserve to be considered by today's investors everywhere. This book is therefore aimed at all those with an interest in the behavior of stock markets.
eBook