We develop a measure of how information events impact investors' perceptions of risk that is broadly applicable and simple to implement. We derive this measure from an option-pricing model where investors anticipate an announcement that simultaneously conveys information on the announcer's...

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 finds that low-price stocks' earnings announcement returns are significantly lower than those of high-price stocks. In contrast, we do not find such underperformance outside announcement periods. This evidence suggests that the cognitive bias induced by low share prices are corrected...

The purpose of a management earnings forecast is to forecast the eventual earnings figure released to the market at the earnings announcement date. To the extent that management earnings forecasts should reduce periodic shocks by reducing information asymmetry, stock return volatility is...

We use high frequency consumer perception data to conduct the first event study of consumers’ perceptual responses to earnings announcements. We find that consumers’ attention to brands is heightened around earnings announcements. Moreover, we document that the change in consumers’ overall...

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...

Previous research finds that, owing to the representativeness heuristic bias, earnings seasonal rank negatively predicts stock returns surrounding earnings announcements (EAs) in China’s A-share markets. We examine whether management earnings forecasts (MEFs) help alleviate the stock return...

This study examines whether crowdsourced forecasts of earnings and revenues help investors unravel bias in earnings announcement news, which is commonly derived from analyst forecasts. Our results suggest that investors, on average, understand and price the predictive signals reflected in...

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...

In this paper, we provide an estimate of the ex-ante risk premia on earnings announcements based on the option market. We find that the risk premia are time-varying and have predictive power on future stock returns. With our ex-ante risk premia as a measure of uncertainty before each earnings...