We examine the ability of physical (historical) skewness to predict the future returns of both stocks and skewness assets. Each month, on the first trading day following the monthly expiration, historical skewness is calculated as the skewness of the daily log returns over the past year. On the second day after the monthly expiration, portfolios of stocks and skewness assets are formed based on deciles of historical skewness. The skewness assets are formed using 1-month options. The portfolios are held until the options in the skewness assets expire approximately one month later. Table I presents the average raw returns, along with the CAPM (CAPM), Fama-French 3-factor (FF3 Alpha) and Fama-French-Carhart 4-factor (FFC4 Alpha) alphas followi...
This dissertation consists of three essays on eliciting information about underlying assets from the...
We model the temporal properties of the first three moments of asset returns and examine whether inc...
The cross section of stock returns has substantial exposure to risk captured by higher moments of ma...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We use intraday data to compute weekly realized variance, skewness, and kurtosis for equity returns ...
AbstractIn this article, we use volatility surface data from options contracts to document a strong,...
This thesis attempts to investigate the cross-sectional predictive power of return asymmetry, skewne...
Theoretical and empirical research documents a negative relation between the cross-section of stock ...
We seek the best skewness models for portfolio choice decisions. To this end, we compare the predict...
This thesis attempts to investigate the cross-sectional predictive power of return asymmetry, skewne...
This article studies the relation between the skewness of commodity futures returns and expected ret...
This dissertation consists of three essays on eliciting information about underlying assets from the...
This dissertation consists of three essays on eliciting information about underlying assets from the...
We model the temporal properties of the first three moments of asset returns and examine whether inc...
The cross section of stock returns has substantial exposure to risk captured by higher moments of ma...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We use intraday data to compute weekly realized variance, skewness, and kurtosis for equity returns ...
AbstractIn this article, we use volatility surface data from options contracts to document a strong,...
This thesis attempts to investigate the cross-sectional predictive power of return asymmetry, skewne...
Theoretical and empirical research documents a negative relation between the cross-section of stock ...
We seek the best skewness models for portfolio choice decisions. To this end, we compare the predict...
This thesis attempts to investigate the cross-sectional predictive power of return asymmetry, skewne...
This article studies the relation between the skewness of commodity futures returns and expected ret...
This dissertation consists of three essays on eliciting information about underlying assets from the...
This dissertation consists of three essays on eliciting information about underlying assets from the...
We model the temporal properties of the first three moments of asset returns and examine whether inc...
The cross section of stock returns has substantial exposure to risk captured by higher moments of ma...