We propose a simple measure of investor sophistication based on financial statement experience derived from publicly available EDGAR log data about accounting information acquisition activity. This approach allows us to provide unique empirical evidence for the existence of attention induced...

We evaluate the impact of complexity and content of new information on stock return volatility dynamics around 10-K fillings. On average, return volatility increases by 0.4% in the first four weeks after the release of the report, followed by a 2.6% decrease in the subsequent six weeks. This...

We select a small set of recommendations that lie in the upper and lower tail of the empirical distribution of divergences between a recommendation, and the consensus over the window (-30, -1)-days prior to that recommendation. We classify these extremely divergent recommendations as bold, and...

We examine the role of earnings management in explaining the properties of asset prices and stock market participation. We demonstrate that investors' uncertainty about the extent of manipulation can cause excess movements in stock price relative to fluctuations in output. When faced with...

We propose and estimate a model of endogenous informed trading that is a hybrid of the PIN and Kyle models. When an informed trader trades optimally, both returns and order flows are needed to identify information asymmetry parameters. Empirical relationships between parameter estimates and...

Models based on asymmetric information predict that debt is least sensitive to private information and cannot explain the illiquidity of corporate debt in secondary markets. We analyze security design with moral hazard and offer a new explanation. First, the optimal compensation contract creates...

We study how stock price informativeness changes with the presence of highfrequency trading (HFT). Our estimate is based on the staggered start of HFT participation in a panel of international exchanges. With HFT presence market prices are a less reliable predictor of future cash ows and...

We study how the informativeness of stock prices changes with the presence of high-frequency trading (HFT). Our estimate is based on the staggered start of HFT participation in a panel of international exchanges. With HFT presence, market prices are a less reliable predictor of future cash flows...