We derive a general expression for the value of information to a price-taking investor in a dynamic environment and provide a framework for its estimation. We study the value of both private and public information and break it down into its instrumental and psychic parts. To illustrate, we...

We use a proprietary dataset to test the implications of several asymmetric information models on how short-lived private information affects trading strategies and liquidity provision. Our identification rests on information acquisition before analyst recommendations are publically announced....

We offer a simple, intuitive and empirically useful expression quantifying the value of asset-specific information to a strategic trader. The value of information reflects the ratio of return volatility to price impact measured using a version of Kyle's lambda. While volatility and illiquidity...

We study how the quality of investors' information across horizons influences investment. In our theory, managers care about how investment is impounded in current stock prices. Because prices imperfectly reflect investment’s value, they under-invest. However, they under-invest less when...