We document that a stock's price around a recommendation or forecast covaries with prices of other stocks the issuing analyst covers. The effect of shared analyst coverage on stock price comovement extends beyond analyst activity days. A stock's daily returns covary with the returns of other...

In this study we examine changes in the precision and the commonality of information contained in individual analysts' earnings forecasts, focusing on changes around earnings announcements. Using the empirical proxies suggested by the Barron et al. (1998) model that are based on the...

An analysis of about 300000 earnings forecasts, created by 18000 individual forecasters for earnings of over 300 S&P listed firms, shows that these forecasts are predictable to a large extent using a statistical model that includes publicly available information. When we focus on the...

We constructed forecasts of earnings forecasts using data on 406 firms and forecasts made by 5419 individuals with on average 25 forecasts per individual. We verified previously found predictors, which are the average of the most recent available forecast for each forecaster and the difference...

Prior research has suggested that the information content associated with analysts' forecast revisions is not immediately incorporated into a firm's stock price. We find that the apparent anomaly is concentrated in low-priced firms that receive favorable earnings revisions. Variables (such as...

This paper examines the role of financial statement comparability in shaping trading volume prior to earnings announcements. We find that the degree of delayed trading volume prior to earnings announcements is less pronounced for firms with more comparable financial statements. In addition, the...

We examine whether financial analysts—sophisticated market participants—are subject to limited attention. We find that when analysts have another firm in their coverage portfolio announcing earnings on the same day as the sample firm (a “concurrent announcement”), they are less likely to...

Because uncertainty is high in bad times, investors find it harder to assess firm prospects and, hence, should value analyst output more. However, higher uncertainty makes analysts' tasks harder so it is unclear if analyst output is more valuable in bad times. We find that, in bad times, analyst...

Burgstahler and Eames (2003) present evidence that analysts commonly anticipate earnings management to avoid small losses, but often incorrectly predict its occurrence. Here we consider whether the market's behavior mimics that of analysts. Our results suggest that analysts exhibit more forecast...

Recent research finds that many analyst recommendation revisions take place shortly after earnings announcements. Altinkilic and Hansen (2009) attribute the clustering of recommendations to analysts strategically piggybacking on earnings information to improve the perceived performance of their...