Stock markets play a dual role: help allocate capital by conveying information about firms' fundamentals and provide liquidity by quickly turning stocks into cash. We propose a trading model in which these two roles are endogenously related: more intensive use of stocks for liquidity affects...

We measure investors' short- and long-term stock-return expectations using both options and survey data. These expectations at different horizons reveal what investors think their own short-term expectations will be in the future, or forward return expectations. While contemporaneous short-term...

We build a model of the law of small numbers (LSN)--the incorrect belief that even small samples represent the properties of the underlying population--to study its implications for trading behavior and asset prices. In our model, a belief in the LSN induces investors to expect short-term price...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

We study how the social transmission of public news influences investors' beliefs and securities markets. Using an extensive dataset to measure investor social networks, we find that earnings announcements from firms in higher-centrality locations generate stronger immediate price and trading...

Browser data from an approximately representative sample of individual investors offers a detailed account of their search for information, including how much time they spend on stock research, which stocks they research, what categories of information they seek, and when they gather information...

Recent empirical evidence documents that different individuals earn systematically different rates of return, even after controlling for portfolio composition. We propose a general equilibrium theory of residual heterogeneity in rates of return on wealth by embedding a financial market with...

We introduce and analyze a new market design for trading financial assets. The design allows traders to directly trade any user-defined linear combination of assets. Orders for such portfolios are expressed as downward-sloping piecewise-linear demand curves with quantities as flows...

Using a semi-supervised topic model on 7,000,000 New York Times articles spanning 160 years, we test whether topics of media discourse predict future stock and bond market returns to test rational and behavioral hypotheses about market valuation of disaster risk. Focusing on media discourse...

We introduce a novel empirical decomposition of equity price growth rates in terms of equity holdings, based on market-clearing conditions. Although our sample holdings cover only an average of 5% of market capitalization, our reconstructed equity holdings account for, on average, 89% of the...