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regard to the prediction of returns, volatility and density in the S&P 500 index. Our results reveal that the information … VIX options. Our findings are robust to various measures of realized volatility and methods of density evaluation …
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In this analysis we are concerned with the issue of whether market forecasts of volatility, as expressed in the Black … comprising 5-minute returns, makes volatility the subject process of interest, to which innovations are introduced via a … volatility-of-volatility (kurtosis) process. Despite performing robustly in- and out-of-sample, an encompassing regression …
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This paper contains an overview and an extension of the theory on comonotonicity-based model-free upper bounds and super-replicating strategies for stock index options, as presented in Hobson et al. (2005) and Chen et al. (2008). Whereas these authors only consider index call options, here a...
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We analyze the joint cross-section of monthly S&P500 stock index options and monthly CBOE Volatility Index options by … stochastic volatility model and Distributionally Robust Optimization. Significant pricing errors appear if the Stochastic …-of-the-money volatility index puts appears particularly appealing to pure market risk averters. The evidence against option market efficiency …
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For nonzero but small values of correlation a method is given to de-correlate the instantaneous volatility from the … price process in stochastic volatility models. Once the skew has been symmetrized in this manner, it is possible to imply … moments of realized volatility from the index option prices in this de-correlated setting. The implied moments can …
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