This paper reveals that in addition to fundamental factors, the 52-week high price and recent investor sentiment play an important role in analysts' target price formation. Analysts' forecasts of short-term earnings and long-term earnings growth are shown to be important explanatory variables...

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...

Prior analyst literature focuses on the impact of financial analysts on the firms they cover, and prior information-transfer literature concentrates on the externalities of information provided by management. This paper fills gaps in both streams of literature by examining the focal firm's...

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...

Using the setting of extreme mutual fund flow-driven trading pressure, this paper examines sell-side analysts' role in stabilizing capital markets. We find that a select group of analysts persistently issue price-correcting recommendation changes for stocks experiencing mutual fund flow-driven...

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 several factors that help explain cross-sectional variations in the post-revision price drift associated with analyst forecast revisions. First, the market does not make a sufficient distinction between revisions that provide new information ("high-innovation" revisions) 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...

We examine the predictability of 299 capital market anomalies enhanced by 30 machine learning approaches and over 250 models in a dataset with more than 500 million firm-month-anomaly observations. We find significant monthly (out-of-sample) returns of around 1.8-2.0%, and over 80% of the models...

I estimate a theory-based behavioral momentum using analysts' predictable underreaction (APU) as a proxy for newswatchers underreaction. The results show that APU strongly predicts analysts' errors and, more importantly, stock returns. A long-short strategy based on APU generates a...