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...

This paper tests trade-off and pecking order predictions about stock repurchases and dividends by using a sample of publicly traded U.S. firms from 1983-2018. We find that stock repurchases have the characteristics of dynamic adjustment compared to cash dividends. Examination of the determinants...

Organizations today have access to vast stores of data that come in a wide variety of forms and may be stored in places ranging from file cabinets to databases, and from library shelves to the Internet. The enormous growth in the quantity of data, however, has brought with it growing problems...