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一种用于三阶噪声分析的克莱默斯-莫亚尔方法及其在期权估值中的应用。

A Kramers-Moyal approach to the analysis of third-order noise with applications in option valuation.

作者信息

Popescu Dan M, Lipan Ovidiu

机构信息

Department of Physics, University of Richmond, Richmond, Virginia, United States of America.

出版信息

PLoS One. 2015 Jan 27;10(1):e0116752. doi: 10.1371/journal.pone.0116752. eCollection 2015.

DOI:10.1371/journal.pone.0116752
PMID:25625856
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4308111/
Abstract

We propose the use of the Kramers-Moyal expansion in the analysis of third-order noise. In particular, we show how the approach can be applied in the theoretical study of option valuation. Despite Pawula's theorem, which states that a truncated model may exhibit poor statistical properties, we show that for a third-order Kramers-Moyal truncation model of an option's and its underlier's price, important properties emerge: (i) the option price can be written in a closed analytical form that involves the Airy function, (ii) the price is a positive function for positive skewness in the distribution, (iii) for negative skewness, the price becomes negative only for price values that are close to zero. Moreover, using third-order noise in option valuation reveals additional properties: (iv) the inconsistencies between two popular option pricing approaches (using a "delta-hedged" portfolio and using an option replicating portfolio) that are otherwise equivalent up to the second moment, (v) the ability to develop a measure R of how accurately an option can be replicated by a mixture of the underlying stocks and cash, (vi) further limitations of second-order models revealed by introducing third-order noise.

摘要

我们建议在三阶噪声分析中使用克莱默斯-莫亚尔展开。特别是,我们展示了该方法如何应用于期权估值的理论研究。尽管有帕乌拉定理,即截断模型可能表现出较差的统计特性,但我们表明,对于期权及其标的资产价格的三阶克莱默斯-莫亚尔截断模型,会出现重要特性:(i)期权价格可以写成包含艾里函数的封闭解析形式,(ii)对于分布中的正偏度,价格是正函数,(iii)对于负偏度,价格仅在接近零的价格值时变为负数。此外,在期权估值中使用三阶噪声还揭示了其他特性:(iv)两种常用期权定价方法(使用“delta套期保值”投资组合和使用期权复制投资组合)之间的不一致性,这两种方法在二阶矩之前在其他方面是等效的,(v)能够开发一种衡量指标R,以衡量期权可以被标的股票和现金的混合组合复制的准确程度,(vi)引入三阶噪声揭示的二阶模型的进一步局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3806/4308111/ca84bbb64ebc/pone.0116752.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3806/4308111/6952d36ea95d/pone.0116752.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3806/4308111/7151de022579/pone.0116752.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3806/4308111/ca84bbb64ebc/pone.0116752.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3806/4308111/6952d36ea95d/pone.0116752.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3806/4308111/7151de022579/pone.0116752.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3806/4308111/ca84bbb64ebc/pone.0116752.g003.jpg

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