{"title":"C2类期权价格的无套利插值","authors":"Fabien Le Floc’h","doi":"10.3905/jod.2020.1.119","DOIUrl":null,"url":null,"abstract":"This article presents simple formulae for the local variance gamma model of Carr and Nadtochiy (2017), extended with a piecewise-linear local variance function. The new formulae allow us to calibrate the model efficiently to market option quotes. On a small set of quotes, exact calibration is achieved under one millisecond. This effectively results in an arbitrage-free interpolation of class . The article proposes a good regularization when the quotes are noisy. Finally, it puts in evidence an issue of the model at-the-money, which is also present in the related one-step finite difference technique of Andreasen and Huge (2011), and gives two solutions for it. TOPICS: Options, statistical methods Key Findings ▪ The local variance gamma model, extended with piecewise-linear local variance function, leads to simple formulae for vanilla option prices. ▪ This model leads to a fast, exact arbitrage-free interpolation of market quotes. ▪ A specific regularization is required to overcome an artificial spike in the implied probability density, when fitting the model to noisy quotes.","PeriodicalId":34223,"journal":{"name":"Jurnal Derivat","volume":"28 1","pages":"64 - 86"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Arbitrage-Free Interpolation of Class C2 for Option Prices\",\"authors\":\"Fabien Le Floc’h\",\"doi\":\"10.3905/jod.2020.1.119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents simple formulae for the local variance gamma model of Carr and Nadtochiy (2017), extended with a piecewise-linear local variance function. The new formulae allow us to calibrate the model efficiently to market option quotes. On a small set of quotes, exact calibration is achieved under one millisecond. This effectively results in an arbitrage-free interpolation of class . The article proposes a good regularization when the quotes are noisy. Finally, it puts in evidence an issue of the model at-the-money, which is also present in the related one-step finite difference technique of Andreasen and Huge (2011), and gives two solutions for it. TOPICS: Options, statistical methods Key Findings ▪ The local variance gamma model, extended with piecewise-linear local variance function, leads to simple formulae for vanilla option prices. ▪ This model leads to a fast, exact arbitrage-free interpolation of market quotes. ▪ A specific regularization is required to overcome an artificial spike in the implied probability density, when fitting the model to noisy quotes.\",\"PeriodicalId\":34223,\"journal\":{\"name\":\"Jurnal Derivat\",\"volume\":\"28 1\",\"pages\":\"64 - 86\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Derivat\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3905/jod.2020.1.119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Derivat","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/jod.2020.1.119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Arbitrage-Free Interpolation of Class C2 for Option Prices
This article presents simple formulae for the local variance gamma model of Carr and Nadtochiy (2017), extended with a piecewise-linear local variance function. The new formulae allow us to calibrate the model efficiently to market option quotes. On a small set of quotes, exact calibration is achieved under one millisecond. This effectively results in an arbitrage-free interpolation of class . The article proposes a good regularization when the quotes are noisy. Finally, it puts in evidence an issue of the model at-the-money, which is also present in the related one-step finite difference technique of Andreasen and Huge (2011), and gives two solutions for it. TOPICS: Options, statistical methods Key Findings ▪ The local variance gamma model, extended with piecewise-linear local variance function, leads to simple formulae for vanilla option prices. ▪ This model leads to a fast, exact arbitrage-free interpolation of market quotes. ▪ A specific regularization is required to overcome an artificial spike in the implied probability density, when fitting the model to noisy quotes.