{"title":"捕捉堕落天使(和其他昂贵的信用事件)","authors":"L. Goldberg, A. Zapp","doi":"10.2139/ssrn.822888","DOIUrl":null,"url":null,"abstract":"We examine the efficacy of the I-squared incomplete information credit model in a broad context that is relevant to fund and asset managers. Using a rigorous statistical analysis, we show that I-squared is a powerful forecaster of the following events: - Rating agency downgrades - Investment grade to high yield downgrades - High yield defaults These statistical results translate directly into useful portfolio construction techniques. For example, we show that the number of high-yield defaults in a portfolio can be reduced dramatically by excluding a very small number of names.","PeriodicalId":335960,"journal":{"name":"MSCI Research Paper Series","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Catching Fallen Angels (and Other Expensive Credit Events)\",\"authors\":\"L. Goldberg, A. Zapp\",\"doi\":\"10.2139/ssrn.822888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We examine the efficacy of the I-squared incomplete information credit model in a broad context that is relevant to fund and asset managers. Using a rigorous statistical analysis, we show that I-squared is a powerful forecaster of the following events: - Rating agency downgrades - Investment grade to high yield downgrades - High yield defaults These statistical results translate directly into useful portfolio construction techniques. For example, we show that the number of high-yield defaults in a portfolio can be reduced dramatically by excluding a very small number of names.\",\"PeriodicalId\":335960,\"journal\":{\"name\":\"MSCI Research Paper Series\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MSCI Research Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.822888\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MSCI Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.822888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Catching Fallen Angels (and Other Expensive Credit Events)
We examine the efficacy of the I-squared incomplete information credit model in a broad context that is relevant to fund and asset managers. Using a rigorous statistical analysis, we show that I-squared is a powerful forecaster of the following events: - Rating agency downgrades - Investment grade to high yield downgrades - High yield defaults These statistical results translate directly into useful portfolio construction techniques. For example, we show that the number of high-yield defaults in a portfolio can be reduced dramatically by excluding a very small number of names.