We collect a unique dataset of Twitter posts to examine the change in investor disagreement around earnings announcements. We find that investors' opinions can either converge (reduced disagreement) or diverge (increased disagreement) around earnings announcements. The convergence and divergence...

We show that understanding the role of analysts' forecast bias is central to discovering the behavior that causes some stocks to have high analyst forecast dispersion. This finding is important because stocks with high analyst forecast dispersion contribute significantly to many important...

Using a sample of 97 stock return anomalies, we find that anomaly returns are 50% higher on corporate news days and are 6 times higher on earnings announcement days. These results could be explained by dynamic risk, mispricing via biased expectations, and data mining. We develop and conduct...

Analysts' price targets and recommendations contradict stock return anomaly variables. Using an index based on 125 anomalies, we find that analysts' annual stock return forecasts are 11% higher for anomaly-shorts than for anomaly-longs. Anomaly-shorts' return forecasts are excessively...

Previous studies link equity market liberalization to economic growth in emerging markets. In the 24 emerging markets that we study, liberalizations always coincide with other economic reforms, making identification difficult. Theories linking liberalization to growth predict that at the...