An analysis of about 300000 earnings forecasts, created by 18000 individual forecasters for earnings of over 300 S&P listed firms, shows that these forecasts are predictable to a large extent using a statistical model that includes publicly available information. When we focus on the...

Exploring properties both of the EIA's natural gas and crude oil storage announcements and of analyst forecasts of the EIA storage figures, we find that analyst storage forecasts bring additional information to the market beyond seasonal patterns and past storage flows and that the market...

We examine how informed traders trade in the option market around news announcements. We show that their profits depend on whether positions are long or short, whether trades take place before or after news releases, and whether events are scheduled or unscheduled. We predict and find that...

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 apply state-of-the-art financial machine learning to assess the return-predictive value of more than 45,000 earnings announcements on a majority of S&P1500 constituents. To represent the diverse information content of earnings announcements, we generate predictor variables based on various...

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...

We apply state-of-the-art financial machine learning to assess the return-predictive value of more than 45,000 earnings announcements on a majority of S&P1500 constituents. To represent the diverse information content of earnings announcements, we generate predictor variables based on various...