{"title":"随机自动微分-蒙特卡罗模拟的AAD - MVA近似方法(来自尼斯第14届量化金融会议的演示幻灯片)","authors":"Christian P. Fries","doi":"10.2139/ssrn.3263526","DOIUrl":null,"url":null,"abstract":"This first part of this presentation gives an introduction to stochastic automatic differentiation and its application. The second part of the presentation introduces a simple \"static hedge\" approximation for an SIMM based MVA and compares it with an exact solution (where the exact solution was obtained by the stochastic automatic differentiation).","PeriodicalId":129812,"journal":{"name":"Financial Engineering eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stochastic Automatic Differentiation - AAD for Monte-Carlo Simulations - MVA Approximation Methods (Presentation Slides from the 14th Quant Finance Conference, Nice)\",\"authors\":\"Christian P. Fries\",\"doi\":\"10.2139/ssrn.3263526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This first part of this presentation gives an introduction to stochastic automatic differentiation and its application. The second part of the presentation introduces a simple \\\"static hedge\\\" approximation for an SIMM based MVA and compares it with an exact solution (where the exact solution was obtained by the stochastic automatic differentiation).\",\"PeriodicalId\":129812,\"journal\":{\"name\":\"Financial Engineering eJournal\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Financial Engineering eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3263526\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Engineering eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3263526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stochastic Automatic Differentiation - AAD for Monte-Carlo Simulations - MVA Approximation Methods (Presentation Slides from the 14th Quant Finance Conference, Nice)
This first part of this presentation gives an introduction to stochastic automatic differentiation and its application. The second part of the presentation introduces a simple "static hedge" approximation for an SIMM based MVA and compares it with an exact solution (where the exact solution was obtained by the stochastic automatic differentiation).