{"title":"信用违约互换价差,公允价值价差和利率动态","authors":"A. Yeh","doi":"10.21314/JCR.2012.154","DOIUrl":null,"url":null,"abstract":"This paper examines the empirical relationship between credit risk and interest rate risk. We use the credit default swap (CDS) spread as our measure of credit risk. Also, we control for the variation in the fair-value spread that combines multiple sources of default risk, including the market price of risk (Sharpe ratio), the loss given default (LGD), and the expected default frequency (EDF). After taking into account the fair-value spread, a liquidity risk factor, and several proxies for the general state of the macroeconomy, we find that the interest rate surprise factor serves as a robust determinant of CDS spread gyrations in both the full sample and most subsamples organized by industry type and credit rating status. Furthermore, we empirically find that the swap interest rate variables convey material information about CDS spread movements above and beyond the Treasury interest rate variables in the vast majority of 2SLS regressions. These empirical results have important implications for the parameterization of interest rate dynamics in the Monte Carlo simulation of economic capital for a typical bank's credit portfolio.","PeriodicalId":44244,"journal":{"name":"Journal of Credit Risk","volume":"77 1","pages":"53-129"},"PeriodicalIF":0.3000,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Credit Default Swap Spreads, Fair Value Spreads, and Interest Rate Dynamics\",\"authors\":\"A. Yeh\",\"doi\":\"10.21314/JCR.2012.154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the empirical relationship between credit risk and interest rate risk. We use the credit default swap (CDS) spread as our measure of credit risk. Also, we control for the variation in the fair-value spread that combines multiple sources of default risk, including the market price of risk (Sharpe ratio), the loss given default (LGD), and the expected default frequency (EDF). After taking into account the fair-value spread, a liquidity risk factor, and several proxies for the general state of the macroeconomy, we find that the interest rate surprise factor serves as a robust determinant of CDS spread gyrations in both the full sample and most subsamples organized by industry type and credit rating status. Furthermore, we empirically find that the swap interest rate variables convey material information about CDS spread movements above and beyond the Treasury interest rate variables in the vast majority of 2SLS regressions. These empirical results have important implications for the parameterization of interest rate dynamics in the Monte Carlo simulation of economic capital for a typical bank's credit portfolio.\",\"PeriodicalId\":44244,\"journal\":{\"name\":\"Journal of Credit Risk\",\"volume\":\"77 1\",\"pages\":\"53-129\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2012-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Credit Risk\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.21314/JCR.2012.154\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Credit Risk","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.21314/JCR.2012.154","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Credit Default Swap Spreads, Fair Value Spreads, and Interest Rate Dynamics
This paper examines the empirical relationship between credit risk and interest rate risk. We use the credit default swap (CDS) spread as our measure of credit risk. Also, we control for the variation in the fair-value spread that combines multiple sources of default risk, including the market price of risk (Sharpe ratio), the loss given default (LGD), and the expected default frequency (EDF). After taking into account the fair-value spread, a liquidity risk factor, and several proxies for the general state of the macroeconomy, we find that the interest rate surprise factor serves as a robust determinant of CDS spread gyrations in both the full sample and most subsamples organized by industry type and credit rating status. Furthermore, we empirically find that the swap interest rate variables convey material information about CDS spread movements above and beyond the Treasury interest rate variables in the vast majority of 2SLS regressions. These empirical results have important implications for the parameterization of interest rate dynamics in the Monte Carlo simulation of economic capital for a typical bank's credit portfolio.
期刊介绍:
With the re-writing of the Basel accords in international banking and their ensuing application, interest in credit risk has never been greater. The Journal of Credit Risk focuses on the measurement and management of credit risk, the valuation and hedging of credit products, and aims to promote a greater understanding in the area of credit risk theory and practice. The Journal of Credit Risk considers submissions in the form of research papers and technical papers, on topics including, but not limited to: Modelling and management of portfolio credit risk Recent advances in parameterizing credit risk models: default probability estimation, copulas and credit risk correlation, recoveries and loss given default, collateral valuation, loss distributions and extreme events Pricing and hedging of credit derivatives Structured credit products and securitizations e.g. collateralized debt obligations, synthetic securitizations, credit baskets, etc. Measuring managing and hedging counterparty credit risk Credit risk transfer techniques Liquidity risk and extreme credit events Regulatory issues, such as Basel II, internal ratings systems, credit-scoring techniques and credit risk capital adequacy.