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'...

This paper tests several predictions from an information diffusion framework in the quarterly earnings announcement setting. First, post-announcement drift is documented only for earnings announcements that have high information content (uncertainty), measured by high abnormal trading volume and...

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 study financial reporting and disclosure practices in China using survey methods similar to prior studies of U.S. firms (i.e., Graham, Harvey, and Rajgopal, 2005; Dichev, Graham, Harvey, and Rajgopal, 2013). Comparing earnings features, motives to manage and smooth earnings, and voluntary...

We extend the theory and empirics in Chen, Hong, and Stein (2002) by assuming that investors subject to market sentiment hold a biased belief in the aggregate. With a dynamic multi-asset model, we predict that the breadth-return relationship can be either positive or negative depending on the...