风险中性定价过程中的长、短记忆

Y. S. Kim, Danling Jiang, Stoyan Stoyanov
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引用次数: 6

摘要

本文提出了一种分数阶lsamvy过程的半鞅近似,它能够在随机过程中捕获长、短记忆和肥尾。本文将半鞅过程应用于期权定价,并与随机波动率lsamvy过程等其他期权定价模型进行了实证比较。他们对实证文献做出了贡献,因为他们首先报告了使用lsamvy过程模型从观察到的期权价格计算得出的隐含赫斯特指数。他们将标准普尔500指数期权价格的隐含赫斯特指数(implied Hurst index)与2008年金融危机期间进行了校准,发现风险中性指标的特点是,在动荡的市场中记忆较短,在平静的市场中记忆较长。主题:选项,统计方法,性能测量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long and Short Memory in the Risk-Neutral Pricing Process
This article proposes a semi-martingale approximation to a fractional Lévy process that is capable of capturing long and short memory in the stochastic process together with fat tails. The authors use the semi-martingale process in option pricing and empirically compare its performance to other option pricing models, including a stochastic volatility Lévy process. They contribute to the empirical literature by being the first to report the implied Hurst index computed from observed option prices using the Lévy process model. Calibrating the implied Hurst index of S&P 500 option prices in a period that covers the 2008 financial crisis, they find that the risk-neutral measure is characterized by a short memory in turbulent markets and a long memory in calm markets. TOPICS: Options, statistical methods, performance measurement
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