{"title":"Exact simulation scheme for the Ornstein-Uhlenbeck driven stochastic volatility model with the Karhunen-Loève expansions","authors":"Jaehyuk Choi","doi":"arxiv-2402.09243","DOIUrl":null,"url":null,"abstract":"This study proposes a new exact simulation scheme of the Ornstein-Uhlenbeck\ndriven stochastic volatility model. With the Karhunen-Lo\\`eve expansions, the\nstochastic volatility path following the Ornstein-Uhlenbeck process is\nexpressed as a sine series, and the time integrals of volatility and variance\nare analytically derived as the sums of independent normal random variates. The\nnew method is several hundred times faster than Li and Wu [Eur. J. Oper. Res.,\n2019, 275(2), 768-779] that relies on computationally expensive numerical\ntransform inversion. The simulation algorithm is further improved with the\nconditional Monte-Carlo method and the martingale-preserving control variate on\nthe spot price.","PeriodicalId":501355,"journal":{"name":"arXiv - QuantFin - Pricing of Securities","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Pricing of Securities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2402.09243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study proposes a new exact simulation scheme of the Ornstein-Uhlenbeck
driven stochastic volatility model. With the Karhunen-Lo\`eve expansions, the
stochastic volatility path following the Ornstein-Uhlenbeck process is
expressed as a sine series, and the time integrals of volatility and variance
are analytically derived as the sums of independent normal random variates. The
new method is several hundred times faster than Li and Wu [Eur. J. Oper. Res.,
2019, 275(2), 768-779] that relies on computationally expensive numerical
transform inversion. The simulation algorithm is further improved with the
conditional Monte-Carlo method and the martingale-preserving control variate on
the spot price.