Monte Carlo Calculation of Exposure Profiles and Greeks for Bermudan and Barrier Options under the Heston Hull-White Model

Qian Feng, C. Oosterlee
{"title":"Monte Carlo Calculation of Exposure Profiles and Greeks for Bermudan and Barrier Options under the Heston Hull-White Model","authors":"Qian Feng, C. Oosterlee","doi":"10.2139/ssrn.2494233","DOIUrl":null,"url":null,"abstract":"Valuation of Credit Valuation Adjustment (CVA) has become an important field as its calculation is required in Basel III, issued in 2010, in the wake of the credit crisis. Exposure, which is defined as the potential future loss of a default event without any recovery, is one of the key elementsfor pricing CVA. This paper provides a backward dynamics framework for assessing exposure profiles of European, Bermudan and barrier options under the Heston and Heston Hull-White asset dynamics. We discuss the potential of an efficient and adaptive Monte Carlo approach, the Stochastic Grid Bundling Method}(SGBM), which employs the techniques of simulation, regression and bundling. Greeks of the exposure profiles can be calculated in the same backward iteration with little extra effort. Assuming independence between default event and exposure profiles, we give examples of calculating exposure, CVA and Greeks for Bermudan and barrier options.","PeriodicalId":197400,"journal":{"name":"arXiv: Computational Finance","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Computational Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2494233","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Valuation of Credit Valuation Adjustment (CVA) has become an important field as its calculation is required in Basel III, issued in 2010, in the wake of the credit crisis. Exposure, which is defined as the potential future loss of a default event without any recovery, is one of the key elementsfor pricing CVA. This paper provides a backward dynamics framework for assessing exposure profiles of European, Bermudan and barrier options under the Heston and Heston Hull-White asset dynamics. We discuss the potential of an efficient and adaptive Monte Carlo approach, the Stochastic Grid Bundling Method}(SGBM), which employs the techniques of simulation, regression and bundling. Greeks of the exposure profiles can be calculated in the same backward iteration with little extra effort. Assuming independence between default event and exposure profiles, we give examples of calculating exposure, CVA and Greeks for Bermudan and barrier options.
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
在赫斯顿赫尔-怀特模型下百慕大和障碍期权的敞口剖面和希腊的蒙特卡罗计算
信贷估值调整(CVA)的估值在信贷危机后的2010年发布的《巴塞尔协议III》中被要求进行计算,因此成为一个重要的领域。风险敞口被定义为违约事件在没有任何恢复的情况下的潜在未来损失,是CVA定价的关键因素之一。本文提供了一个反向动态框架,用于评估Heston和Heston Hull-White资产动态下欧洲、百慕大和障碍期权的风险敞口概况。我们讨论了一种有效的、自适应的蒙特卡罗方法——随机网格捆绑法(SGBM)的潜力,它采用了模拟、回归和捆绑技术。暴露剖面的希腊值可以在相同的反向迭代中计算,几乎不需要额外的努力。假设违约事件和风险敞口之间的独立性,我们给出了百慕大和障碍期权的风险敞口、CVA和希腊的计算示例。
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
BOUNDS ON MULTI-ASSET DERIVATIVES VIA NEURAL NETWORKS Compact Finite Difference Method for Pricing European and American Options Under Jump-Diffusion Models Numerical analysis on quadratic hedging strategies for normal inverse Gaussian models Part 1: Training Sets & ASG Transforms Feedback effect between Volatility of capital flows and financial stability: evidence from Democratic Republic of Congo
×
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