We use a proprietary database of institutional investors' daily stock transactions to test the validity of a common managerial perception that transient institutions sell their stock ownership indiscriminately upon announcements of small negative earnings surprises, resulting in unwarranted...

We use a proprietary database of institutional investors' daily stock transactions to examine transient institutions' trading behavior in response to announcements of small negative earnings surprises (defined as quarterly earnings that fall short of analysts' consensus forecasts by one cent)....

This study investigates whether the timely revelation of bad earnings news is associated with a lower incidence of litigation. The timeliness of earnings news is captured by a new measure based on the evolution of the consensus analyst earnings forecast. Holding total bad earnings news and other...

Large earnings surprises and negative earnings surprises represent more egregious errors in analysts' earnings forecasts. We find evidence consistent with our expectation that egregious forecast errors motivate analysts to work harder to develop or acquire relatively more private information in...

We examine the consequences of a management earnings forecast regulation implemented in a staggered manner. The regulation substantially increases the directly affected firms' frequency of management forecasts. Nevertheless, approximately 14% of the directly affected firms fail to comply with...