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A non-structural investigation of VIX risk neutral density

机译:VIX风险中性密度的非结构性调查

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We propose a non-structural method to retrieve the risk-neutral density (RND) implied by options on the CBOE Volatility Index (VIX). The methodology is based on orthogonal polynomial expansions around a kernel density and yields the RND of the underlying asset without the need for a parametric specification. The classic family of Laguerre expansions is extended to include the GIG and the generalized Weibull kernels. We show that orthogonal polynomial expansions yield accurate approximations of the RND of VIX and they generally outperform commonly used non-parametric methods when controlling for accuracy. Based on a panel of observed VIX options, we retrieve the variance swap term structure, the time series of VVIX, the VIX risk-neutral moments and the Volatility-at-Risk, which reveal a number of stylized facts on the RND of VIX. (C) 2018 Elsevier B.V. All rights reserved.
机译:我们提出了一种非结构性方法来检索CBOE波动率指数(VIX)期权所隐含的风险中性密度(RND)。该方法基于围绕核密度的正交多项式展开,无需参数说明即可产生基础资产的RND。经典的Laguerre扩展族已扩展为包括GIG和广义的Weibull内核。我们显示正交多项式展开产生VIX RND的精确近似值,并且在控制精度时它们通常优于常用的非参数方法。基于一组观察到的VIX选项,我们检索了方差掉期期限结构,VVIX的时间序列,VIX风险中性时刻和风险波动性,这些揭示了VIX的RND上的许多程式化事实。 (C)2018 Elsevier B.V.保留所有权利。

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