{"title":"回收率与违约的依赖关系","authors":"W. Perraudin, Yen-Ting Hu","doi":"10.2139/ssrn.1961142","DOIUrl":null,"url":null,"abstract":"In standard ratings-based models for analyzing credit portfolios and pricing credit derivatives, it is assumed that defaults and recoveries are statistically independent. This paper presents evidence that aggregate quarterly default rates and recovery rates are, in fact, negatively correlated. Using Extreme Value Theory techniques, we show that the dependence affects the tail behavior of total credit loss distributions and leads to higher VaR measures.","PeriodicalId":366327,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Financial Economics (Topic)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"148","resultStr":"{\"title\":\"The Dependence of Recovery Rates and Defaults\",\"authors\":\"W. Perraudin, Yen-Ting Hu\",\"doi\":\"10.2139/ssrn.1961142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In standard ratings-based models for analyzing credit portfolios and pricing credit derivatives, it is assumed that defaults and recoveries are statistically independent. This paper presents evidence that aggregate quarterly default rates and recovery rates are, in fact, negatively correlated. Using Extreme Value Theory techniques, we show that the dependence affects the tail behavior of total credit loss distributions and leads to higher VaR measures.\",\"PeriodicalId\":366327,\"journal\":{\"name\":\"ERN: Other Econometrics: Applied Econometric Modeling in Financial Economics (Topic)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"148\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Other Econometrics: Applied Econometric Modeling in Financial Economics (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1961142\",\"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: Other Econometrics: Applied Econometric Modeling in Financial Economics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1961142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In standard ratings-based models for analyzing credit portfolios and pricing credit derivatives, it is assumed that defaults and recoveries are statistically independent. This paper presents evidence that aggregate quarterly default rates and recovery rates are, in fact, negatively correlated. Using Extreme Value Theory techniques, we show that the dependence affects the tail behavior of total credit loss distributions and leads to higher VaR measures.