S. Huschens, A. Karmann, Dominik Maltritz, Konstantin Vogl
{"title":"国家违约概率:评估和回溯测试","authors":"S. Huschens, A. Karmann, Dominik Maltritz, Konstantin Vogl","doi":"10.2139/ssrn.965701","DOIUrl":null,"url":null,"abstract":"We address the problem how to estimate default probabilities for sovereign countries based on market data of traded debt. A structural Merton-type model is applied to a sample of emerging market and transition countries. In this context, only few and heterogeneous default probabilities are derived, which is problematic for backtesting. To deal with this problem, we construct likelihood ratio test statistics and quick backtesting procedures.","PeriodicalId":247622,"journal":{"name":"ERN: Fiscal & Monetary Policy in Developing Economies (Topic)","volume":"114 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Country Default Probabilities: Assessing and Backtesting\",\"authors\":\"S. Huschens, A. Karmann, Dominik Maltritz, Konstantin Vogl\",\"doi\":\"10.2139/ssrn.965701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the problem how to estimate default probabilities for sovereign countries based on market data of traded debt. A structural Merton-type model is applied to a sample of emerging market and transition countries. In this context, only few and heterogeneous default probabilities are derived, which is problematic for backtesting. To deal with this problem, we construct likelihood ratio test statistics and quick backtesting procedures.\",\"PeriodicalId\":247622,\"journal\":{\"name\":\"ERN: Fiscal & Monetary Policy in Developing Economies (Topic)\",\"volume\":\"114 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Fiscal & Monetary Policy in Developing Economies (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.965701\",\"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: Fiscal & Monetary Policy in Developing Economies (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.965701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Country Default Probabilities: Assessing and Backtesting
We address the problem how to estimate default probabilities for sovereign countries based on market data of traded debt. A structural Merton-type model is applied to a sample of emerging market and transition countries. In this context, only few and heterogeneous default probabilities are derived, which is problematic for backtesting. To deal with this problem, we construct likelihood ratio test statistics and quick backtesting procedures.