This paper aims at providing new insights on the pricing of aggregate volatility risk by incorporating investor sentiment in the relation between sensitivity to innovations in implied market volatility and expected stock returns. Using both cross-sectional and time series analysis, we...

Systematic mispricing primarily affects speculative stocks and predominantly results in overpricing, predicting lower average returns. Because speculative stocks overlap with stocks deemed risky by rational models, failing to control for exposure to systematic mispricing can bias tests of...

The existence of a premium to momentum portfolios, formed by buying recent winners and selling recent losers is widely accepted, although the source of the returns remains controversial. It remains a focus of behavioural finance. We focus on one set of explanations, based on prospect theory,...

We give an explicit formulaic algorithm and source code for building long-only benchmark portfolios and then using these benchmarks in long-only market outperformance strategies. The benchmarks (or the corresponding betas) do not involve any principal components, nor do they require iterations....

Investors show different behaviour in falling markets and in rising markets. This paper demonstrates that the beta of individual stocks varies across the entire return distribution and that the variation depends on the frequency of the returns. While there is a symmetric u-shape increase for...

Investors’ return on their portfolios, as proxied by the market, is a theoretically appealing but empirically unsuccessful asset pricing factor. In practice, many institutional investors choose to deviate substantially from the market portfolio. We propose a simple model in the spirit of...

We present a real-time, cross-asset, positions-based relative sentiment indicator to predict the U.S. equity market. Derived from the Commitments of Traders report, the indicator measures — in a novel way — the aggregate positioning in equities of institutional investors relative to...

Prediction (or information) markets are markets where participants trade contracts whose payoff depends on unknown future events. Studying prediction markets allows to avoid many problems, which arise in some artificially designed behavioral experiments investigating collective decision making...

This paper finds that the majority of stock price movements remain unexplained after controlling for both public and private information. This suggests that economists' inability to explain asset price movements is the result of either noise or naive asset pricing models.