We contrast two different asset pricing models, where the pricing kernel either (i) increases in the volatility dimension, reflecting investors' aversion to volatility, or (ii) could be non-monotonic in volatility, reflecting heterogeneity in investors' beliefs. The two models yield opposite...

Portfolios formed on a time-varying basis from the principal components of the factors compiled by Chen and Zimmerman (CZ) and Jensen, Kelly, and Pedersen (JKP) display large and robust out-of-sample Sharpe ratios, implying that the factors strongly forecast the cross-section of stock returns....

We investigate the relation between downside beta and stock returns in a global context using more than 170 million daily return observations. Contrary to the findings in the U.S. equity market, we show that downside beta does not explain the cross-sectional differences in future and...

This paper investigates whether realized and implied volatilities of individual stocks can predict the cross-sectional variation in expected returns. Although the levels of volatilities from the physical and risk-neutral distributions cannot predict future returns, there is a significant...

We present resiliency as a measure of liquidity, and assess its relationship to expected returns. We establish a covariance-based measure, RES, that captures opening period resiliency and, using it, find a significant non-resiliency premium that ranges from 33 to 57 basis points per month. The...

This study reexamines the relation between downside beta and equity returns in the U.S. First, we replicate Ang, Chen and Xing (2006) who find a positive relation between downside beta and future equity returns for equal-weighted portfolios of NYSE stocks. We show that this relation doesn't hold...

This paper provides global evidence supporting the hypothesis that expected return models are enhanced by the inclusion of variables that describe the evolution of book-to-market-changes in book value, changes in price, and net share issues. This conclusion is supported using data representing...

We provide strong evidence that the dispersion of individual stock options trading volume across moneynesses (IDISP) contains valuable information about future stock returns. Stocks with high IDISP consistently underperform those with low IDISP by more than 1% per month. In line with the idea...

We document a significant positive relation between earnings announcement idiosyncratic volatility and stock returns in the 10-day window before future earnings announcements. The average of risk-adjusted return differences between stocks with the highest earnings announcement idiosyncratic...

This paper explores the predictive power of the absolute delta beta (ADB) on future cross-sectional stock returns. By univariate portfolio analysis, bivariate portfolio analysis, and decomposition of predictive power, we find that the ADB can produce an excess return in the next month. The...