{"title":"SSVI切片无蝴蝶套利域的精细化分析","authors":"Claude Martini, Arianna Mingone","doi":"10.21314/jcf.2023.008","DOIUrl":null,"url":null,"abstract":"The no-butterfly-arbitrage domain of the Gatheral stochastic-volatility-inspired (SVI) five-parameter formula for the volatility smile has recently been described. It requires in general a numerical minimization of two functions together with a few root-finding procedures. We study here the case of the famous surface SVI (SSVI) model with three parameters, to which we apply the SVI results in order to provide the nobutterfly- arbitrage domain. As side results, we prove that, under simple requirements on parameters, SSVI slices always satisfy Fukasawa’s weak conditions of no arbitrage (ie, the corresponding Black–Scholes functions d1 and d2 are always decreasing), and we find a simple subdomain of no arbitrage for the SSVI model that we compare with the well-known subdomain of Gatheral and Jacquier. We simplify the obtained no-arbitrage domain into a parameterization that requires only one immediate numerical procedure, leading to an easy-to-implement calibration algorithm. Finally, we show that the long-term Heston SVI model is in fact an SSVI model, and we characterize the horizon beyond which it is arbitrage free.","PeriodicalId":51731,"journal":{"name":"Journal of Computational Finance","volume":"63 1","pages":"0"},"PeriodicalIF":0.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Refined analysis of the no-butterfly-arbitrage domain for SSVI slices\",\"authors\":\"Claude Martini, Arianna Mingone\",\"doi\":\"10.21314/jcf.2023.008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The no-butterfly-arbitrage domain of the Gatheral stochastic-volatility-inspired (SVI) five-parameter formula for the volatility smile has recently been described. It requires in general a numerical minimization of two functions together with a few root-finding procedures. We study here the case of the famous surface SVI (SSVI) model with three parameters, to which we apply the SVI results in order to provide the nobutterfly- arbitrage domain. As side results, we prove that, under simple requirements on parameters, SSVI slices always satisfy Fukasawa’s weak conditions of no arbitrage (ie, the corresponding Black–Scholes functions d1 and d2 are always decreasing), and we find a simple subdomain of no arbitrage for the SSVI model that we compare with the well-known subdomain of Gatheral and Jacquier. We simplify the obtained no-arbitrage domain into a parameterization that requires only one immediate numerical procedure, leading to an easy-to-implement calibration algorithm. Finally, we show that the long-term Heston SVI model is in fact an SSVI model, and we characterize the horizon beyond which it is arbitrage free.\",\"PeriodicalId\":51731,\"journal\":{\"name\":\"Journal of Computational Finance\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21314/jcf.2023.008\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21314/jcf.2023.008","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Refined analysis of the no-butterfly-arbitrage domain for SSVI slices
The no-butterfly-arbitrage domain of the Gatheral stochastic-volatility-inspired (SVI) five-parameter formula for the volatility smile has recently been described. It requires in general a numerical minimization of two functions together with a few root-finding procedures. We study here the case of the famous surface SVI (SSVI) model with three parameters, to which we apply the SVI results in order to provide the nobutterfly- arbitrage domain. As side results, we prove that, under simple requirements on parameters, SSVI slices always satisfy Fukasawa’s weak conditions of no arbitrage (ie, the corresponding Black–Scholes functions d1 and d2 are always decreasing), and we find a simple subdomain of no arbitrage for the SSVI model that we compare with the well-known subdomain of Gatheral and Jacquier. We simplify the obtained no-arbitrage domain into a parameterization that requires only one immediate numerical procedure, leading to an easy-to-implement calibration algorithm. Finally, we show that the long-term Heston SVI model is in fact an SSVI model, and we characterize the horizon beyond which it is arbitrage free.
期刊介绍:
The Journal of Computational Finance is an international peer-reviewed journal dedicated to advancing knowledge in the area of financial mathematics. The journal is focused on the measurement, management and analysis of financial risk, and provides detailed insight into numerical and computational techniques in the pricing, hedging and risk management of financial instruments. The journal welcomes papers dealing with innovative computational techniques in the following areas: Numerical solutions of pricing equations: finite differences, finite elements, and spectral techniques in one and multiple dimensions. Simulation approaches in pricing and risk management: advances in Monte Carlo and quasi-Monte Carlo methodologies; new strategies for market factors simulation. Optimization techniques in hedging and risk management. Fundamental numerical analysis relevant to finance: effect of boundary treatments on accuracy; new discretization of time-series analysis. Developments in free-boundary problems in finance: alternative ways and numerical implications in American option pricing.