A number of papers document a strong negative relation between idiosyncratic volatility and risk-adjusted stock returns. Using IHS Markit data on indicative borrowing fees, we show that stocks with high idiosyncratic volatility are far more likely to be hard-to-borrow than stocks with low...

Stock price jump risk is known to be important for explaining the option-implied volatility skew generated by the Black-Scholes model. Financial leverage (distress) has an important impact on the shape of the implied volatility skew, however, we find that the impact of leverage on the implied...

The financial industry has eagerly adopted machine learning algorithms to improve on traditional predictive models. In this paper we caution against blindly applying such techniques. We compare forecasting ability of machine learning methods in evaluating future payoffs on synthetic variance...

Delta-hedged option and straddle returns on S&P500 Index and equity options computed using end-of-day closing prices are always higher compared to those based on any other price of the day. The difference between these returns can easily reach more than 100 bps per day. Price pressures combined...

We examine the pricing of both aggregate jump and volatility risk in the cross-section of stock returns by constructing investable option trading strategies that load on one factor but are orthogonal to the other. Both aggregate jump and volatility risk help explain variation in expected...