随机波动环境下的定价障碍与平均期权

Kenichiro Shiraya, Akihiko Takahashi, M. Toda
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引用次数: 30

摘要

本文应用渐近展开方法,提出了随机波动环境下定价障碍和平均期权的一种新的逼近方法。特别地,一种适用于一般多维扩散过程的高阶展开格式得到了有效的应用。此外,本文将静态套期保值方法与定价障碍期权的渐近展开方法相结合。最后,数值算例表明,在lambda-SABR和SABR模型下,四阶或五阶渐近展开格式提供了足够精确的逼近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pricing Barrier and Average Options Under Stochastic Volatility Environment
This paper proposes a new approximation method of pricing barrier and average options under stochastic volatility environment by applying an asymptotic expansion approach. In particular, a high-order expansion scheme for general multi-dimensional diffusion processes is effectively applied. Moreover, the paper combines a static hedging method with the asymptotic expansion method for pricing barrier options. Finally, numerical examples show that the fourth or fifth-order asymptotic expansion scheme provides sufficiently accurate approximations under the lambda-SABR and SABR models.
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