{"title":"基于条件蒙特卡罗模拟的组合信用衍生品敏感性分析","authors":"Lei Lei, Yijie Peng, M. Fu, Jianqiang Hu","doi":"10.2139/ssrn.3404231","DOIUrl":null,"url":null,"abstract":"We study sensitivity analysis of portfolio credit derivatives, including basket default swaps and collateralized debt obligations. An unbiased estimator is derived using conditional Monte Carlo for sensitivities with respect to systemic parameters (parameters that influence some or all the entities). Copula-based methods are used to model the joint distribution of the default times. Simulation experiments demonstrate the advantages of the proposed derivative estimator over other methods.","PeriodicalId":293888,"journal":{"name":"Econometric Modeling: Derivatives eJournal","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Sensitivity Analysis of Portfolio Credit Derivatives by Conditional Monte Carlo Simulation\",\"authors\":\"Lei Lei, Yijie Peng, M. Fu, Jianqiang Hu\",\"doi\":\"10.2139/ssrn.3404231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study sensitivity analysis of portfolio credit derivatives, including basket default swaps and collateralized debt obligations. An unbiased estimator is derived using conditional Monte Carlo for sensitivities with respect to systemic parameters (parameters that influence some or all the entities). Copula-based methods are used to model the joint distribution of the default times. Simulation experiments demonstrate the advantages of the proposed derivative estimator over other methods.\",\"PeriodicalId\":293888,\"journal\":{\"name\":\"Econometric Modeling: Derivatives eJournal\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Econometric Modeling: Derivatives eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3404231\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Modeling: Derivatives eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3404231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensitivity Analysis of Portfolio Credit Derivatives by Conditional Monte Carlo Simulation
We study sensitivity analysis of portfolio credit derivatives, including basket default swaps and collateralized debt obligations. An unbiased estimator is derived using conditional Monte Carlo for sensitivities with respect to systemic parameters (parameters that influence some or all the entities). Copula-based methods are used to model the joint distribution of the default times. Simulation experiments demonstrate the advantages of the proposed derivative estimator over other methods.
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