While it is established that idiosyncratic volatility has a negative impact on the cross-section of future stock returns, the relationship between idiosyncratic volatility and future hedge fund returns is largely unexplored. We document that hedge funds with high idiosyncratic volatility...

Inspired by Aumann and Serrano (2008) and Foster and Hart (2009), we propose risk-neutral options' implied measures of riskiness and investigate their significance in predicting the cross section of expected returns per unit of risk. The empirical analyses indicate a negative and significant...

This paper investigates the predictability of variance and value at-risk (VaR) measures in international stock markets. We use daily stock market returns for G7 countries (the United States, the United Kingdom, Germany, Japan, Canada, France, Italy) and generate the realized variance and VaR...

Using a measure of ex-ante expected returns based on analyst price targets, we find strong evidence that investors price both systematic (beta and co-skewness) and non-systematic (idiosyncratic volatility) risk when determining the appropriate rate of return on a security. We demonstrate that...

We introduce a new approach to measuring riskiness in the equity market. We propose option implied and physical measures of riskiness and investigate their performance in predicting future market returns. The predictive regressions indicate a positive and significant relation between...

We propose options' implied and physical measures of riskiness and investigate their performance in predicting future returns on the U.S. equity market. The predictive regressions indicate a positive and significant relation between time-varying riskiness and expected market returns. The...

We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the...

We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the...

We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the...

We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the...