Pricing Barrier and Average Options Under Stochastic Volatility Environment

Kenichiro Shiraya, Akihiko Takahashi, M. Toda
{"title":"Pricing Barrier and Average Options Under Stochastic Volatility Environment","authors":"Kenichiro Shiraya, Akihiko Takahashi, M. Toda","doi":"10.2139/SSRN.1491937","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":345004,"journal":{"name":"CIRJE F-Series","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CIRJE F-Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/SSRN.1491937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
随机波动环境下的定价障碍与平均期权
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
State Space Approach to Adaptive Fuzzy Modeling: Application to Financial Investment Prediction in Heteroscedastic Nested Error Regression Models with Random Dispersions Commitment, Deficit Ceiling, and Fiscal Privilege Optimal Bandwidth Selection for Differences of Nonparametric Estimators with an Application to the Sharp Regression Discontinuity Design Bayesian Analysis of Time-Varying Quantiles Using a Smoothing Spline
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1