{"title":"XVA灵敏度的粗略估计","authors":"S. Alavian","doi":"10.2139/ssrn.3314837","DOIUrl":null,"url":null,"abstract":"This paper proposes a simple and crude way of approximating the XVA sensitivities. In short, the idea is simply to recycle the existing base simulated portfolio values for the bumped ones. This is done by re-simulating the risk factors for the bumped market and finding out which other base state is closest to each given bumped state. Once that base state is found, its portfolio value can be used for the bumped one. The approach, therefore, removes the need to revaluate the trades during the secondary round of bump calculations while leaving other steps of the process intact.","PeriodicalId":364869,"journal":{"name":"ERN: Simulation Methods (Topic)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Crude Estimation of XVA Sensitivities\",\"authors\":\"S. Alavian\",\"doi\":\"10.2139/ssrn.3314837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a simple and crude way of approximating the XVA sensitivities. In short, the idea is simply to recycle the existing base simulated portfolio values for the bumped ones. This is done by re-simulating the risk factors for the bumped market and finding out which other base state is closest to each given bumped state. Once that base state is found, its portfolio value can be used for the bumped one. The approach, therefore, removes the need to revaluate the trades during the secondary round of bump calculations while leaving other steps of the process intact.\",\"PeriodicalId\":364869,\"journal\":{\"name\":\"ERN: Simulation Methods (Topic)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Simulation Methods (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3314837\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Simulation Methods (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3314837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a simple and crude way of approximating the XVA sensitivities. In short, the idea is simply to recycle the existing base simulated portfolio values for the bumped ones. This is done by re-simulating the risk factors for the bumped market and finding out which other base state is closest to each given bumped state. Once that base state is found, its portfolio value can be used for the bumped one. The approach, therefore, removes the need to revaluate the trades during the secondary round of bump calculations while leaving other steps of the process intact.