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...

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...

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...

We document an improvement in analysts’ forecast accuracy following increased sector ETF ownership. We identify a possible channel for this result, i.e., because ETFs are more informative with respect to industry-level information, analysts learn directly and efficiently from ETFs about this...

Previous research finds that historical seasonal earnings rank negatively predicts stock returns surrounding earnings announcements (EAs) in China’s A-share markets. We examine whether management earnings forecasts (MEFs) help reduce the stock return seasonality associated with earnings...

Researchers in accounting have recently provided evidence of a striking increase in the usefulness of earnings announcements based on stock market price and volume reactions (Beaver et al., 2018; Barron et al., 2018). Price reactions, however, are unable to capture investor disagreement and volume...

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...

This paper presents results from an experiment and follow-up survey examining whether stock prices influence analysts' earnings forecasts. In our experiment, prices influence analysts' forecasts when uncertainty about future earnings is high, but not when uncertainty is low. Additional analyses...

Theory suggests that the informativeness of price at the time of an earnings announcement increases with the number of informed traders who possess superior information to process news from firm disclosures (Kyle 1985; Admati and Pfleiderer 1988; Kim and Verrecchia 1994). In this paper, we investigate...