AbstractThe paper undertakes a non-parametric analysis of the very high frequency movements in stock market volatility using very finely sampled data on the S&P VIX index compiled by the CBOE. The data suggest that stock market volatility is best described as a pure jump process without a continuous component. The finding stands in contrast to nonparametric results, reported here and elsewhere, that the stock price itself is not a pure jump process but rather contains a continuous martingale component. The jumps in stock volatility are found to be so active that this discredits many recently proposed stochastic volatility models, including the classic affine model with compound Poisson jumps that is widely used in financial modeling and practice. Additional empirical work presents strong evidence for many common jumps, or co-jumps, in both the stock price and stock volatility.
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Bibliographic InfoPaper provided by Duke University, Department of Economics in its series Working Papers with number 10-09.
Date of creation: 2010
Date of revision:
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Postal: Department of Economics Duke University 213 Social Sciences Building Box 90097 Durham, NC 27708-0097
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Web page: http://econ.duke.edu/
Stochastic volatility; activity index; Blumenthal-Getoor index; jumps; VIX index; jump risk premium;
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- Audrino, Francesco & Hu, Yujia, 2011. "Volatility Forecasting: Downside Risk, Jumps and Leverage Effect," Economics Working Paper Series 1138, University of St. Gallen, School of Economics and Political Science.
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