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题名Closed-form approximations with respect to the mixing solution for option pricing under stochastic volatility
作者
发表日期2022
发表期刊Stochastics
ISSN/eISSN1744-2508
卷号94期号:5页码:745-788
摘要

We consider closed-form approximations for European put option prices within the Heston and GARCH diffusion stochastic volatility models with time-dependent parameters. Our methodology involves writing the put option price as an expectation of a Black-Scholes formula and performing a second-order Taylor expansion around the mean of its argument. The difficulties then faced are simplifying a number of expectations induced by the Taylor expansion. Under the assumption of piecewise-constant parameters, we derive closed-form pricing formulas and devise a fast calibration scheme. Furthermore, we perform a numerical error and sensitivity analysis to investigate the quality of our approximation and show that the errors are well within the acceptable range for application purposes. Lastly, we derive bounds on the remainder term generated by the Taylor expansion.

关键词41A58 65C20 91G60 closed-form approximation closed-form expansion GARCH Heston Stochastic volatility
DOI10.1080/17442508.2021.1993445
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收录类别SCIE
语种英语English
WOS研究方向Mathematics
WOS类目Mathematics, Applied ; Statistics & Probability
WOS记录号WOS:000711265000001
Scopus入藏号2-s2.0-85118249906
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9640
专题个人在本单位外知识产出
通讯作者Das, Kaustav
作者单位
1.School of Mathematics,Monash University,Clayton,Australia
2.CSIRO Data61,Clayton,Australia
推荐引用方式
GB/T 7714
Das, Kaustav,Langrené, Nicolas. Closed-form approximations with respect to the mixing solution for option pricing under stochastic volatility[J]. Stochastics, 2022, 94(5): 745-788.
APA Das, Kaustav, & Langrené, Nicolas. (2022). Closed-form approximations with respect to the mixing solution for option pricing under stochastic volatility. Stochastics, 94(5), 745-788.
MLA Das, Kaustav,et al."Closed-form approximations with respect to the mixing solution for option pricing under stochastic volatility". Stochastics 94.5(2022): 745-788.
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