We test the hypothesis that retail investors' attraction to lottery stocks induces overvaluation, and is amplified by high attention and social interactions. The lottery premium (negative abnormal returns) is stronger for high-retail-ownership stocks—especially those that also have high...

We propose a statistical model of differences in beliefs in which heterogeneous investors are represented as different machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs that are available to all investors. We measure...

We propose a belief-generating model from which we build a statistical measure of investor disagreement. We simulate differences in beliefs across investors by endowing them with different machine learning models for forecasting returns from the same set of inputs. We measure disagreement as the...

We propose a statistical model of differences in beliefs in which heterogeneous investors are represented as different machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs that are available to all investors. We measure...

This paper investigates the risk versus mispricing explanation of superior returns to contrarian strategies using the interactions between value-to-market indicators and corporate financing transactions that increase or decrease a firm's outstanding equity. Portfolio-level analyses and...

We introduce a measure of regret for stock market investors and investigate its cross-sectional asset pricing implications. We propose a theoretical framework in which investors experience regret due to not achieving the highest possible return in the same industry with their stock investment,...