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We develop an ex-ante measure of expected stock returns based on analyst price targets. We then show that ex …
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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...
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We investigate the cross-sectional return predictability of delta-hedged equity options using machine learning and big data. 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...
Persistent link: https://www.econbiz.de/10013215503
-ante view of a stock's risk and the stock's ex-ante expected return. We demonstrate that an ex-ante measure of expected returns … based on analyst price targets is highly related to the market's required rate of return. Using this measure, we show that …-ante expected returns. We then decompose the risk measures into systematic and unsystematic components and find that while expected …
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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...
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This is the first study on the risk-neutral distribution of option returns. We derive solutions for the risk … further out-of-the-money (in-the-money). The risk-neutral moments of call returns are increasing in the volatility of the … with put return moments. We find that the magnitudes of the risk-neutral and physical moments differ substantially …
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