理解高频波动率指数的跳跃

Inna Khagleeva
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引用次数: 3

摘要

我通过检查1992年至2010年波动率指数和标准普尔500指数的高频数据,对波动率跳跃和杠杆效应进行了全面的非参数研究。我认为,1998年之前的VIX数据噪音太大,无法提供可靠的推断。1999年之后,数据集更加清晰,但仍然存在争议。更具体地说,VIX跳变的高频动力学挑战了常用的随机波动跳变-扩散模型的假设。我对这一现象的解释是,假设VIX中大多数跳跃式运动都是“伪跳跃”,即这些跳跃幅度很大,但暂时偏离了基本值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Jumps in the High-Frequency VIX
I conduct a comprehensive nonparametric study of volatility jumps and leverage effect by examining high-frequency data on the VIX and S&P 500 from 1992 to 2010. I argue that the VIX data prior to 1998 are too noisy to provide a reliable inference. After 1999, the dataset is cleaner but still controversial. More specifically, the high-frequency dynamics of the VIX jumps challenges the assumptions of commonly used stochastic volatility jump-diffusion models. I explain this phenomenon by hypothesizing that most jump-like movements in the VIX are "pseudo-jumps" i.e., these jumps are large but temporary deviations from fundamental values.
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