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We study jump variance risk by jointly examining both stock and option markets. We develop a GARCH option pricing model with jump variance dynamics and a non-monotonic pricing kernel featuring jump variance risk premium. The model yields a closed-form option pricing formula and improves in...
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consistent with an asset pricing model allowing for both time-varying jump intensity and stochastic volatility of volatility to …
Persistent link: https://www.econbiz.de/10012904660
After the financialization of commodity futures markets in 2004-05 oil volatility has become a strong predictor of … returns and volatility of the overall stock market. Furthermore, stocks' exposure to oil volatility risk now drives the cross … to oil volatility is significant at 0.66% per month, and oil volatility risk carries a significant risk premium of -0 …
Persistent link: https://www.econbiz.de/10013058330
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We derive a model-free option-based formula to estimate the contribution of market frictions to expected returns (CFER) within an asset pricing setting. We estimate CFER for the U.S. optionable stocks. We document that CFER is sizable, it predicts stock returns and it subsumes the effect of...
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We show that inflation risk is priced in stock returns and that inflation risk premia in the cross-section and the aggregate market vary over time, even changing sign as in the early 2000s. This time variation is due to both price and quantities of inflation risk changing over time. Using a...
Persistent link: https://www.econbiz.de/10012905328
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This paper considers an extension to Ang et al.’s (2006) non-linear downside beta framework. The extreme downside risk extension counts the extreme negative stock returns conditional on the market return being extremely negative. The extension is used in double-sorted portfolios, where I...
Persistent link: https://www.econbiz.de/10014257425