The dynamics of stochastic volatility: evidence from underlying and options markets

被引:226
|
作者
Jones, CS [1 ]
机构
[1] Univ So Calif, Marshall Sch Business, Los Angeles, CA 90089 USA
关键词
continuous-time estimation; stochastic volatility; option pricing; Bayesian analysis; stock market crashes;
D O I
10.1016/S0304-4076(03)00107-6
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper proposes and estimates a more general parametric stochastic variance model of equity index returns than has been previously considered using data from both underlying and options markets. I conclude that the square root stochastic variance model of Heston (Rev. Financial Stud. 6 (1993) 327) is incapable of generating realistic returns behavior, and that the data are better represented by a stochastic variance model in the CEV class or a model with a time-varying leverage effect. As the level of market variance increases, the volatility of market variance increases rapidly and the leverage effect becomes substantially stronger. The heightened heteroskedasticity in market variance that results causes returns to display unconditional skewness and kurtosis much closer to their sample values, while the model falls short of explaining the implied volatility smile for short-dated options and conditional higher moments in returns. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:181 / 224
页数:44
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