{"title":"Malliavin衍生证券衍生品","authors":"Tom P. Davis","doi":"10.3905/jod.2022.30.2.065","DOIUrl":null,"url":null,"abstract":"The Malliavin calculus has been used successfully to derive efficient formulas for delta and gamma. This article extends these results to all higher-order spatial derivatives with respect to the underlying asset for arbitrary payoffs in both the Black-Scholes (Black and Scholes 1973) (lognormal) and Bachelier (normal) models. The former reproduces a well-known result from Peter Carr (2000), whereas the latter extends this work to the normal case.","PeriodicalId":34223,"journal":{"name":"Jurnal Derivat","volume":"30 1","pages":"65 - 73"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Malliavin Derivatives of Derivative Securities\",\"authors\":\"Tom P. Davis\",\"doi\":\"10.3905/jod.2022.30.2.065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Malliavin calculus has been used successfully to derive efficient formulas for delta and gamma. This article extends these results to all higher-order spatial derivatives with respect to the underlying asset for arbitrary payoffs in both the Black-Scholes (Black and Scholes 1973) (lognormal) and Bachelier (normal) models. The former reproduces a well-known result from Peter Carr (2000), whereas the latter extends this work to the normal case.\",\"PeriodicalId\":34223,\"journal\":{\"name\":\"Jurnal Derivat\",\"volume\":\"30 1\",\"pages\":\"65 - 73\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Derivat\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3905/jod.2022.30.2.065\",\"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.2022.30.2.065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
Malliavin微积分已被成功地用于推导有效的delta和gamma公式。本文将这些结果推广到Black-Scholes(Black and Scholes 1973)(lognormal)和Bachelier(normal)模型中任意收益的所有关于基础资产的高阶空间导数。前者再现了彼得·卡尔(2000)的一个著名结果,而后者将这项工作扩展到了正常情况。
The Malliavin calculus has been used successfully to derive efficient formulas for delta and gamma. This article extends these results to all higher-order spatial derivatives with respect to the underlying asset for arbitrary payoffs in both the Black-Scholes (Black and Scholes 1973) (lognormal) and Bachelier (normal) models. The former reproduces a well-known result from Peter Carr (2000), whereas the latter extends this work to the normal case.