C2类期权价格的无套利插值

Fabien Le Floc’h
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引用次数: 1

摘要

本文给出了Carr和Nadtochiy(2017)的局部方差伽玛模型的简单公式,并用分段线性局部方差函数进行了扩展。新的公式使我们能够根据市场期权报价有效地校准模型。在一小组引号上,精确校准可以在一毫秒内实现。这有效地导致了类的无套利插值。这篇文章提出了一个很好的正则化当引号是有噪声的。最后,证明了货币模型的一个问题,该问题也存在于Andreasen和Huge(2011)的相关一步有限差分技术中,并给出了两个解决方案▪ 用分段线性局部方差函数扩展局部方差gamma模型,得到了适用于普通期权价格的简单公式。▪ 该模型可以实现快速、准确、无套利的市场报价插值。▪ 当将模型拟合到有噪声的引号时,需要特定的正则化来克服隐含概率密度中的人为尖峰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Arbitrage-Free Interpolation of Class C2 for Option Prices
This article presents simple formulae for the local variance gamma model of Carr and Nadtochiy (2017), extended with a piecewise-linear local variance function. The new formulae allow us to calibrate the model efficiently to market option quotes. On a small set of quotes, exact calibration is achieved under one millisecond. This effectively results in an arbitrage-free interpolation of class . The article proposes a good regularization when the quotes are noisy. Finally, it puts in evidence an issue of the model at-the-money, which is also present in the related one-step finite difference technique of Andreasen and Huge (2011), and gives two solutions for it. TOPICS: Options, statistical methods Key Findings ▪ The local variance gamma model, extended with piecewise-linear local variance function, leads to simple formulae for vanilla option prices. ▪ This model leads to a fast, exact arbitrage-free interpolation of market quotes. ▪ A specific regularization is required to overcome an artificial spike in the implied probability density, when fitting the model to noisy quotes.
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来源期刊
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24 weeks
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