Using a machine learning approach to analyze 12.8 million tweets posted by S&P 1500 firms from 2012 to 2016, we find that firms time financial tweets around earnings announcements, accounting filings as well as other important corporate events, and are more likely to use media (images or video)...

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'...

Extant studies provide two additional explanations other than backdating for the abnormal stock returns around CEO option grants – timing of option grants and timing of corporate disclosures. We examine the effect of the Sarbanes-Oxley Act of 2002 (SOX), the stock option backdating scandal,...

Motivated by investor disagreement and corporate disclosure literatures, we examine how stock price shocks affect future stock returns. We find that both large short-term price drops and hikes are followed by negative abnormal returns over the subsequent year, consistent with the conjecture 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'...

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...