{"title":"Semi-Analytical Pricing of Barrier Options in the Time-Dependent λ-SABR Model: Uncorrelated Case","authors":"A. Itkin, D. Muravey","doi":"10.3905/jod.2022.1.166","DOIUrl":null,"url":null,"abstract":"We consider semi-analytical pricing of barrier options for the time-dependent SABR stochastic volatility model (with drift in the instantaneous volatility) with zero correlation between spot and stochastic volatility. In doing so, we modify the general integral transform method (see Itkin et al. 2021) and deliver solution of this problem in the form of Fourier-Bessel series. The weights of this series solve a linear mixed Volterra-Fredholm equation (LMVF) of the second kind also derived in the article. Numerical examples illustrate the speed and accuracy of our method, which are comparable with those of the finite-difference approach at small maturities and outperform them at high maturities even by using a simplistic implementation of the RBF method for solving the LMVF.","PeriodicalId":34223,"journal":{"name":"Jurnal Derivat","volume":"30 1","pages":"74 - 101"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Derivat","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/jod.2022.1.166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We consider semi-analytical pricing of barrier options for the time-dependent SABR stochastic volatility model (with drift in the instantaneous volatility) with zero correlation between spot and stochastic volatility. In doing so, we modify the general integral transform method (see Itkin et al. 2021) and deliver solution of this problem in the form of Fourier-Bessel series. The weights of this series solve a linear mixed Volterra-Fredholm equation (LMVF) of the second kind also derived in the article. Numerical examples illustrate the speed and accuracy of our method, which are comparable with those of the finite-difference approach at small maturities and outperform them at high maturities even by using a simplistic implementation of the RBF method for solving the LMVF.
我们考虑了现货与随机波动率零相关的随时间变化的SABR随机波动率模型(瞬时波动率有漂移)的障碍期权的半解析定价。在此过程中,我们修改了一般的积分变换方法(见Itkin et al. 2021),并以傅里叶-贝塞尔级数的形式给出了该问题的解。该级数的权值解出了第二类线性混合Volterra-Fredholm方程(LMVF)。数值例子说明了我们的方法的速度和准确性,在小期限时与有限差分方法相当,在高期限时甚至通过使用RBF方法的简化实现来求解LMVF也优于它们。