We provide evidence that equity investors with limited attention are slow to incorporate how current oil price changes affect future earnings announcements. A cross-sectional equity trading strategy that exploits this inefficiency yields an annualized Sharpe Ratio of 0.57. Stock prices respond...

This paper investigates the usefulness of the real-time macroeconomic news-flow as a leading indicator of firm-level end-of-quarter realized earnings. Using recent advances in macroeconomics, I develop a nowcasting model for quarterly earnings and provide two main findings. First, I show that my...

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...

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...

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...

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...

The accounting literature has used the midpoint of range forecasts in various research settings, assuming that the midpoint is the best proxy for managers' earnings expectations revealed in range forecasts. We argue that given managers' asymmetric loss functions regarding earnings surprises,...

I propose a new method to predict non-announcing firms' earnings using the cross-section of all available early announcers' earnings, which can number in the thousands. The method assumes common latent factors driving the earnings of non-announcing firms and early announcers and thus efficiently...

I hypothesize that the stock market overreacts to management earnings forecasts because of the uncertainty surrounding them. I find that negative management forecast surprises lead to a –5.9% abnormal return around the forecast and a 1.9% correction in the 2-month period after earnings are...