Is Bloomberg’s Credit Default Swaps Model Superior in Predicting Defaults?

Seung Hun Han, Karyl B. Leggio, Yoon S. Shin
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Abstract

Using new corporate bonds issued by US industrial firms from 2001 to 2020, we compare the performance of S&P’s credit ratings with that of the Bloomberg Model Credit Default Swap (CDS) spread and the Bloomberg Market/Model CDS spread ratio. We find that: (1) while both credit ratings and CDS spread affect nominal yield spreads significantly, Bloomberg Model CDS spreads are timelier than credit ratings in updating credit risk information; (2) with regard to predicting actual defaults of the new bonds, both credit ratings and Bloomberg CDS spread are effective; and (3) S&P investment-grade credit ratings do not have any capability to predict defaults, while the Bloomberg CDS spread is effective in predicting defaults regardless of credit quality. We conclude that the Bloomberg Model CDS spread is a better indicator of default risk than the S&P’s credit rating.
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彭博社的信用违约互换模型在预测违约方面是否更胜一筹?
利用2001年至2020年美国工业企业发行的新公司债券,我们比较了标普信用评级与彭博模型信用违约互换(CDS)价差和彭博市场/模型CDS价差比的表现。我们发现:(1)尽管信用评级和CDS价差对名义收益率价差都有显著影响,但彭博模型CDS价差在更新信用风险信息方面比信用评级更及时;(2)对于新债的实际违约预测,信用评级和彭博CDS价差均有效;(3)标准普尔投资级信用评级没有任何预测违约的能力,而彭博CDS价差在预测违约方面是有效的,无论信用质量如何。我们得出的结论是,彭博模型CDS价差比标准普尔的信用评级更能反映违约风险。
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来源期刊
Journal of Fixed Income
Journal of Fixed Income Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.10
自引率
0.00%
发文量
23
期刊介绍: The Journal of Fixed Income (JFI) provides sophisticated analytical research and case studies on bond instruments of all types – investment grade, high-yield, municipals, ABSs and MBSs, and structured products like CDOs and credit derivatives. Industry experts offer detailed models and analysis on fixed income structuring, performance tracking, and risk management. JFI keeps you on the front line of fixed income practices by: •Staying current on the cutting edge of fixed income markets •Managing your bond portfolios more efficiently •Evaluating interest rate strategies and manage interest rate risk •Gaining insights into the risk profile of structured products.
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