Using machine learning-based algorithms, we measure key impressions about sell-side analysts using their LinkedIn profile photos. We find that analysts’ trustworthiness (TRUST) and dominance (DOM) are positively associated with forecast accuracy, especially after recent in-person meetings...

Using machine learning–based algorithms, we measure key impressions about sell-side analysts using their LinkedIn photos. We find that impressions of analysts’ trustworthiness (TRUST) and dominance (DOM) are positively associated with forecast accuracy, especially after recent in-person...

We offer here the psychological attraction approach to accounting and disclosure rules, regulation, and policy as a program for positive accounting research. We suggest that psychological forces have shaped and continue to shape rules and policies in two different ways. (1) Good Rules for Bad...

We test whether earnings management (like a virus) spreads from firm to firm via board connections of shared directors (virus carriers). We use earnings restatements to identify firms that managed earnings and to identify the period when these firms manipulated earnings. We consider firms as...

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 news search activity for the firm on earnings announcement days. We find that analysts issue more timely...

I describe a brief summary of the development of databases used in accounting research and discuss the research questions addressed in traditional databases and ‘new' databases. The new data include online searches such as Google Trends data; textual data from corporate disclosures, analyst...

This paper models firms' choices between alternative means of presenting information, and the effects of different presentations on market prices when investors have limited attention and processing power. In a market equilibrium with partially attentive investors, we examine the effects of...

We review extensive evidence about how psychological biases affect investor behavior and prices. Systematic mispricing probably causes substantial resource misallocation. We argue that limited attention and overconfidence cause investor credulity about the strategic incentives of informed market...

We propose the visual attention hypothesis, that visuals in firm earnings announcements increase attention to the earnings news. We find that visuals in firm Twitter earnings announcements are associated with more retweets, consistent with greater follower engagement with announcements with...

This paper models firms' choices between alternative means of presenting information, and the effects of different presentations on market prices when investors have limited attention and processing power. In a market equilibrium with partially attentive investors, we examine the effects of...