Although many studies show that the presence of institutional investors facilitates the incorporation of accounting information into financial markets, the evidence of informed trading by institutions is rather limited in the extant literature. We address these inconsistent findings by proposing...

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 examine whether the market's reaction to firms' earnings news varies with analysis (i.e., editorial content) produced by financial journalists. A series of restructuring events at The Wall Street Journal (WSJ) suggests that WSJ articles improve price discovery and increase trading volume at...

This paper shows that an important link between investor sentiment and firm overvaluation is optimistic earnings expectations, and that management earnings guidance aids in resolving sentiment-driven overvaluation. Using the firm characteristics identified by Baker and Wurgler (2006), we find...

Using a sample that post-dates important regulatory changes in Europe, we show that a buy recommendation from an analyst on a “consensus sell” stock is, on average, sufficient to cause the stock to start to rise in value. Similarly, a sell recommendation on a “consensus buy” stock can...

We show meetings of investors and firms convey information about expected returns. Investors frequently travel to meet in-person with firms before investing, and we show firms with abnormally frequent meetings predictably outperform firms with abnormally infrequent meetings by roughly 70-to-100...

Bayesian learning provides the core concept of processing noisy information. In standard Bayesian frameworks, assessing the price impact of information requires perfect knowledge of news’ precision. In practice, however, precision is rarely dis- closed. Therefore, we extend standard Bayesian...

This paper presents a Heterogeneous Agent Model of a financial market with chartist and fundamentalist traders that exhibit bounded rationality and short-term thinking to explain the effect of under and overreaction to news. The existence of the Market Maker's finite price adjustment speed leads...

Bayesian learning provides a core concept of information processing in financial markets. Typically it is assumed that market participants perfectly know the quality of released news. However, in practice, news' precision is rarely disclosed. Therefore, we extend standard Bayesian learning...

Bayesian learning provides the core concept of information processing in financial markets. Typically, it is assumed that market participants know perfectly the quality of released news. However, in practice, news' precision is rarely disclosed. Therefore, we extend standard Bayesian learning,...