This paper reviews the literature examining how costs of monitoring for, acquiring, and
analyzing firm disclosures–collectively,“disclosure processing costs”–affect investor …

We provide the first comprehensive analysis of the properties of investment
recommendations generated by “Robo-Analysts,” which are human analyst-assisted …

Using a quasi-natural experiment based on the introduction of Rule 18, a key component of
China's anti-corruption campaign, this paper finds that the accuracy of analysts' earnings …

In the current world of the Big Data revolution, where a vast amount of information is
available to investors, attention is a scarce resource. The time, effort, and skill required to …

We study how institutional investor attention to a firm affects the timeliness of analysts'
forecasts for that firm. We measure abnormal institutional attention (AIA) using Bloomberg …

This study constructs a novel measure that aims to capture face-to-face private
communications between firm managers and sell-side analysts by mapping detailed, large …

We construct a distraction measure based on extreme industry returns to gauge whether
analysts' attention is away from certain stocks under coverage. We find that temporarily …

Value and contrarian investment strategies are two basic approaches which are widely used
by investors worldwide. Both value and contrarian investment strategies are assumed to pick …

ABSTRACT I develop a theory to study the consequences of providing more detailed
information to rationally inattentive investors. I first consider a simple data‐provision problem …

This paper explores the shock of school closures caused by the COVID-19 pandemic to
study the effect of domestic responsibilities on analysts' attention at work. School closures …