Basu, Sankarshan; Rangan, Srinivasan; Vidhani, Nikhil - 2023
We propose a new measure of investor disagreement based on thirty-nine factors from the return-predicting anomaly literature. Consistent with theoretical work on volume, we show that a one standard deviation change in anomaly-based disagreement is associated with a 16.7% higher turnover in the...