We survey a theory of the economic underpinnings of the fat-tailed distributions of a number of financial variables, such as returns and trading volumes. Our theory posits that they have a common origin in the strategic trading behavior of very large financial institutions in a relatively illiquid market. We show how the fat-tailed distribution of fund sizes can indeed generate extreme returns ...

We explore the implications of a subtle “default” choice that firms make in their regular reporting practices, namely that firms typically repeat what they most recently reported. Using the complete history of regular quarterly and annual filings by U.S. corporations from 1995-2014, we show that when firms make an active change in their reporting practices, this conveys an important signal abou...

We study comovements between standardized option values and spot stock prices for the S&P 100 equity index and ten large U.S. firms over 1988 to 1995. To standardize option values, we use a weighted average of option implied volatilities (IV) to control for the option’s moneyness, interest rates, and time to maturity. We find differences in the comovement behavior across individual stocks and t...

This paper presents results from an experimental computer simulated stock market. In this market arti"cial intelligence algorithms take on the role of traders. They make predictions about the future, and buy and sell stock as indicated by their expectations of future risk and return. Prices are set endogenously to clear the market. Time series from this market are analyzed from the standpoint o...

Most stock exchange regulators around the world reacted to the 2007-2009 crisis by imposing bans or regulatory constraints on short-selling. Short-selling restrictions were imposed and lifted at different dates in different countries, often applied to different sets of stocks and featured different degrees of stringency. We exploit this considerable variation in short-sales regimes to identify ...

Existing studies using low-frequency data show that macroeconomic shocks contribute little to international stock market covariation. Those studies, however, do not account for the presence of asymmetric information, where sophisticated investors generate private information about the fundamentals that drive returns in many countries. In this paper, the authors use a new microstructure data set...

We examine the effects of rivals’ earnings news during the waiting period of an IPO’s going public process on IPO pricing and completion decision, and investigate the implication of these effects for post-IPO operating performance. We find that a signal-to-noise measure of rivals’ earnings news has significantly negative valuation effects on both price revision and initial return for completed ...

Introducing extrapolation bias into a standard one-sector production-based real business cycle model with recursive preferences reconciles salient stylized facts about business cycles (low consumption volatility and high investment volatility relative to output) and financial markets (high equity premium, volatile stock returns, and a low and smooth riskfree rate) with low relative risk aversio...

We study the cross-sectional dispersion in daily stock returns, or daily return dispersion (RD). Our primary empirical contribution is to demonstrate that RD contains reliable incremental information about the future traditional volatility of both firm-level and portfolio-level returns. The relation between RD and future stock volatility is pervasive across time and across different industry po...

This paper introduces the concept of statistical arbitrage, a long horizon trading opportunity that generates a riskless profit and is designed to exploit persistent anomalies. Statistical arbitrage circumvents the joint hypothesis dilemma of traditional market efficiency tests because its definition is independent of any equilibrium model and its existence is incompatible with market efficienc...