The extant literature provides evidence that, for many SEC 8-K filings, there is a significant market reaction on the date of the event that led to the 8-K filing, on the days between the event date and the filing date and on the filing date. We address the question, who pays attention and who...

Previously, academics have used the supply of information that arrives to market (e.g., macroeconomic announcements, earnings reports, or news releases) to study how information affects asset prices and anomalies, and for tests of market efficiency. In this paper, we instead use measures of...

We construct measures of expected information consumption (EIC) to test whether information processing by investors is associated with a risk premium. We show that most expected information processing about individual firms occurs during spillovers, when peer firm or macroeconomic announcements...

Previous research documents differences in trading desk skills across management companies that result in significant variation in execution costs. In this paper, we utilize links between management companies and their institutional clients to explore variation in execution costs within...

We propose a direct measure of abnormal institutional investor attention (AIA) using news searching and news reading activity for specific stocks on Bloomberg terminals. AIA is highly correlated with institutional trading measures and related to, but different from, other investor attention...

We use minute-by-minute Bloomberg online status data to characterize two important dimensions of sell-side equity analysts' work habits: we estimate the average workday length (AWL) to proxy for analysts' general effort provision and we use the percentage away day (PAD) to proxy for their soft...

We use machine learning to analyze minute-by-minute Bloomberg online status data and study how the effort provision of top executives in public corporations affects firm value. While executives likely spend most of their time doing other activities, Bloomberg usage data allows us to characterize...