We develop an ex-ante measure of expected stock returns based on analyst price targets. We then show that ex-ante measures of volatility, skewness, and kurtosis implied from stock option prices are positively related to the cross section of ex-ante expected stock returns. While expected returns...

This paper shows that firm growth potential – representing a firm's yet-unexercised growth opportunities – is associated with option overpricing and low future delta-hedged option returns. We provide an explanation of this phenomenon based on the idea that retail investors exert buying...

This paper proposes a measure of labor market connectivity based on the similarity in the composition of occupational knowledge characteristics across industries and provides evidence of return predictability in the cross-section of industries that are connected through the labor market. In...

Stocks with large increases in call implied volatilities over the previous month tend to have high future returns while stocks with large increases in put implied volatilities over the previous month tend to have low future returns. Sorting stocks ranked into decile portfolios by past call...

We propose the first factor model that explains cross-sectional variation in optionable stock returns. Our model includes new factors based on option-implied volatility minus realized volatility, the call minus put implied volatility spread, and the difference between changes in call and put...

We propose a theoretically motivated and empirically robust factor model for option returns. The model consists of factors based on option illiquidity, option price, implied-minus-realized volatility, implied-minus-realized skewness, implied-minus-realized kurtosis, and the option market factor....

We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness assets comprised of two option positions (one long and one short) and a position in the underlying stock. The assets are created such that exposure to changes in the price of the underlying stock...

We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness assets comprised of two option positions (one long and one short) and a position in the underlying stock. The assets are created such that exposure to changes in the underlying stock price...

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...

Drawing upon more than 12 million observations over the period from 1996 to 2020, we find that allowing for nonlinearities significantly increases the out-of-sample performance of option and stock characteristics in predicting future option returns. Besides statistical significance, the...