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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...
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Using a high-frequency dataset, we analyze the effects of risk-aversion and real-time macroeconomic variables on both …
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Theory suggests that the informativeness of price at the time of an earnings announcement increases with the number of …
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