Credit Default Swap Spreads, Fair Value Spreads, and Interest Rate Dynamics

IF 0.3 4区 经济学 Q4 Economics, Econometrics and Finance Journal of Credit Risk Pub Date : 2012-06-01 DOI:10.21314/JCR.2012.154
A. Yeh
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引用次数: 6

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.
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信用违约互换价差,公允价值价差和利率动态
本文考察了信用风险与利率风险之间的实证关系。我们使用信用违约互换(CDS)价差来衡量信用风险。此外,我们还控制了结合多种违约风险来源的公允价值价差的变化,包括风险的市场价格(夏普比率)、违约损失(LGD)和预期违约频率(EDF)。在考虑了公允价值价差、流动性风险因素和宏观经济总体状态的几个代理之后,我们发现利率意外因素在全样本和大多数按行业类型和信用评级状态组织的子样本中都是CDS价差波动的稳健决定因素。此外,我们通过经验发现,在绝大多数2SLS回归中,掉期利率变量传达了CDS价差变动的重要信息,超出了国债利率变量。这些实证结果对典型银行信贷组合经济资本蒙特卡洛模拟中的利率动态参数化具有重要意义。
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来源期刊
Journal of Credit Risk
Journal of Credit Risk BUSINESS, FINANCE-
CiteScore
0.90
自引率
0.00%
发文量
10
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.
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