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 analyze management's emphasis (i.e., prominence, frequency, and textual highlighting) of GAAP metrics within the narrative portion of earnings announcement press releases; we assess whether management uses emphasis opportunistically, informatively, or both. We find that management emphasizes...

Psychological evidence indicates that it is hard to process multiple stimuli and perform multiple tasks at the same time. This paper tests the investor distraction hypothesis, which holds that the arrival of extraneous news causes trading and market prices to react sluggishly to relevant news...

We model limited attention as incomplete usage of publicly available information. Informed players decide whether or not to disclose to observers who sometimes neglect either disclosed signals or the implications of non-disclosure. In equilibrium observers are unrealistically optimistic,...

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 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...

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...

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...

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...

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...