We develop a model of investor information choices and asset prices where the availability of information about fundamentals is time-varying. A competitive research sector produces more information when more investors are willing to pay for that research. This feedback, from investor willingness...

We study information and portfolio choices when securities' dividends depend on an aggregate (macro) risk factor and idiosyncratic (micro) shocks, and when investors can acquire costly dividend information. We establish a general result under which investors endogeneously specialize in either...

We find that an increase in the ``unusualness'' of news with negative sentiment predicts an increase in stock market volatility. Similarly, unusual positive news forecasts lower volatility. Our analysis is based on more than 360,000 articles on 50 large financial companies, published in...

We analyze methods for selecting topics in news articles to explain stock returns. We find, through empirical and theoretical results, that supervised Latent Dirichlet Allocation (sLDA) implemented through Gibbs sampling in a stochastic EM algorithm will often overfit returns to the detriment of...

The well-documented underreaction of stock prices to news exhibits substantial time variation, and comoves with institutional capital and trading motives. We show that higher risk-bearing capacity of financial intermediaries and lower passive ownership of stocks increase price underreaction....