This paper uses transaction-level fund trading data from the United States to study the information advantage of institutional investors. Our research design follows a two-step procedure. In the first step, we identify funds that sell shares in firms before their unexpected revelation of stock...

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...

Using a machine learning approach to process 11 million tweets posted by S&P 1500 firms from 2011 through 2016, we find that poor corporate social responsibility (CSR) performance firms tweet more about CSR activities and use tweets that are shorter, and with more passive voice and extreme tone....

We explore the tweeting behavior of S&P 1500 firms’ executives (CEOs and CFOs) and its market consequences during the period of 2011 to 2018. We document that executives tweet financial information related to their firms and time these tweets to firms’ major events, and that investors...

We introduce learning into the hedge fund managers’ risk choice problem with imperfect information. We find that with a constant but unobserved expected return on investment, learning induces managers to take more risks and increases manager compensation. When the return is stochastic,...

This paper incorporates model ambiguity into the traditional hedge fund models to explore how ambiguity influences the manager's investment strategy, risk attitude and compensation structure. We find the manager is ambiguity aversion. Model ambiguity enhances her level of endogenous risk...

We study the behavior of short sellers as informed market participants and examine potential sources of their information. Using a newly available dataset with high-frequency short sales data, we find evidence of significant increases in short sales immediately prior to large insider sales, but...

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'...