We examine how the qualitative characteristics of a non-GAAP earnings disclosure reveal the quality of the non-GAAP performance metric itself. We measure the qualitative aspects of the non-GAAP disclosure using an index of 12 hand-coded characteristics and presentation choices that provide...

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...

While a large literature has examined analysts’ earnings forecasts or stock recommendations in isolation, there is little research on the effectiveness with which analysts translate their earnings forecasts into recommendations (referred to as translational effectiveness). This study provides...

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)....

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...