We investigate whether mandatory earnings announcement date forecasts are informative to investors and the informational tradeoffs between mandatory and voluntary forecasts. We find: (i) The percentages of the quarter's earnings news conveyed by mandatory China and voluntary US forecasts are...

We address whether analysts bias earnings forecast revisions and convey the bias using forecast revision consistency, i.e., the extent to which analyst reports with earnings forecast revisions include stock recommendation and target price revisions consistent in sign with the earnings forecast...

We use the Campbell (1991) return decomposition framework to reexamine the variation in the information content of earnings between profit firms and loss firms and over time. We show that current earnings surprises are more strongly correlated with the discount rate news component of returns for...

This study finds that pro-forma earnings forecasts by bidding firms during acquisitions are associated with a higher likelihood of deal completion, expedited deal closing, and with a lower acquisition premium − but only in stock-financed acquisitions. Analysts also respond to these forecasts...

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...

This paper examines the relation between firm-level implied volatility skew and the likelihood of extreme negative events, or crash risk. I show that volatility skew identifies which firms are likely to experience crashes, but only in short-window earnings announcement periods. The predictive...

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...

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...

Distinct from the literature on the effects that management earnings forecasts (MEFs) properties, such as point, range and qualitative estimations, have on analyst forecasts, this study explores the effects of selective disclosure of MEFs. Under China’s mandatory disclosure system, this study...

Analysts' functions are divided into discovery and interpretation roles, but separating between the two is non-trivial. We conjecture that analysts' interpretation skill can be gauged by their forecast revisions following material unanticipated news — in particular following non-earnings 8-K...