This paper uses a unique transaction-level fund trading dataset to evaluate institutional investors' trading performance. Our research design follows a two-step procedure. In the first stage, we identify funds that heavily sold shares in firms before their public revelation of stock option...

We examine whether empirical results using text-based sentiment of U.S. annual reports depend on the underlying context, within documents, from which sentiment is measured. We construct a clause-level measure of context, showing that sentiment is driven by many different contexts and that...

Practitioners have long criticized risk-factor disclosures in the 10-K as generic and boilerplate. In response, regulators emphasize the importance of being specific. By using a computing algorithm, this paper establishes a new measure (Specificity) to quantify the level of specificity of firms'...