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Volatility activity: Specification and estimation

机译:波动率活动:规格和估计

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The paper examines volatility activity and its asymmetry and undertakes further specification analysis of volatility models based on it. We develop new nonparametric statistics using high-frequency option-based VIX data to test for asymmetry in volatility jumps. We also develop methods for estimating and evaluating, using price data alone, a general encompassing model for volatility dynamics where volatility activity is unrestricted. The nonparametric application to VIX data, along with model estimation for S&P index returns, suggests that volatility moves are best captured by an infinite variation pure-jump martingale with a symmetric jump compensator around zero. The latter provides a parsimonious generalization of the jump-diffusions commonly used for volatility modeling
机译:本文研究了波动率活动及其不对称性,并在此基础上对波动率模型进行了进一步的规格分析。我们使用基于高频期权的VIX数据开发新的非参数统计数据,以测试波动率跳跃中的不对称性。我们还开发了仅使用价格数据即可估算和评估波动率活动不受限制的通用模型的方法。对VIX数据的非参数应用以及对标准普尔指数回报的模型估计表明,波动性最好由无限变化的纯跳跃mar捕获,其中对称跳跃补偿器约为零。后者提供了通常用于波动率建模的跳跃扩散的简化概括

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