Large earnings surprises and negative earnings surprises represent more egregious errors in analysts' earnings forecasts. We find evidence consistent with our expectation that egregious forecast errors motivate analysts to work harder to develop or acquire relatively more private information in...

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...

This study proposes and tests an alternative to the extant earnings management explanation for zero and small positive earnings surprises (i.e., analyst forecast errors). We argue that analysts' ability to strategically induce slight pessimism in earnings forecasts varies with the precision of...

This paper investigates the problem of time stamp errors in the IBES database, the most important data provider of analyst recommendations and forecasts currently. We compare IBES to alternative data sources and show that IBES announcement dates of both recommendations and forecasts are...

We show that actively managed U.S. hedge funds, on average, trade on the post-earnings announcement drift anomaly more aggressively than mutual funds. Both mutual and hedge funds that actively trade on drift anomaly face higher arbitrage risk. However arbitrage risk reduces mutual funds'...

We define a delayed disclosure ratio (DD) as the fraction of 10-Q financial statement items that are withheld at the earlier quarterly earnings announcement. We find that higher DD firms have a greater delay in investor and analyst response to earnings surprises: (i) the fraction of total market...

We examine the role of concurrent information in the striking increase in investor response to earnings announcements from 2001 to 2016, as measured by return variability and volume following Beaver (1968). We find management guidance, analyst forecasts, and disaggregated financial statement...

This paper tests several predictions from an information diffusion framework in the quarterly earnings announcement setting. First, post-announcement drift is documented only for earnings announcements that have high information content (uncertainty), measured by high abnormal trading volume and...

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...

This study examines the role of expectations management in explaining why firms with high dispersion in analyst forecasts experience relatively low future stock returns. We first demonstrate that the negative relation between dispersion and returns is concentrated around earnings announcements...