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Option Valuation with Volatility Components, Fat Tails, and Nonmonotonic Pricing Kernels

机译:具有波动成分,肥尾和非单调定价内核的期权定价

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摘要

We nest multiple volatility components, fat tails, and a U-shaped pricing kernel in a single option model and compare their contribution in describing returns and option data. All three features lead to statistically significant model improvements. A U-shaped pricing kernel is economically most important and improves option fit by 17%, on average, and more so for two-factor models. A second volatility component improves the option fit by 9%, on average. Fat tails improve option fit by just over 4%, on average, but more so when a U-shaped pricing kernel is applied. Overall, these three model features are complements rather than substitutes: the importance of one feature increases in conjunction with the others.
机译:我们在单个期权模型中嵌套了多个波动成分,粗尾和一个U形定价内核,并比较了它们在描述收益和期权数据中的作用。所有这三个功能都可以在统计上显着改善模型。 U形定价内核在经济上最为重要,平均而言,其期权拟合度提高了17%,而对于两因素模型则更是如此。第二个波动成分平均将期权拟合度提高了9%。粗尾可将期权拟合平均提高4%以上,但在应用U形定价内核时,更为明显。总体而言,这三个模型功能是补充而不是替代:一个功能的重要性与其他功能一起增加。

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