Pandemic Exposure, Credit Market Reactions, and Corporate Default Risk

2020 ◽  
Author(s):  
Michael B. Imerman ◽  
Ran Zhao
Keyword(s):  
Default Risk ◽  
Credit Market ◽  
Market Reactions ◽  
Corporate Default

The Bloomberg Corporate Default Risk Model (DRSK) for Public Firms

2021 ◽  
Author(s):  
Mario Bondioli ◽  
Martin Goldberg ◽  
Nan Hu ◽  
Chengrui Li ◽  
Olfa Maalaoui Chun ◽  
...  
Keyword(s):  
Default Risk ◽  
Risk Model ◽  
Public Firms ◽  
Corporate Default

The Bloomberg Corporate Default Risk Model (DRSK) for Private Firms

2021 ◽  
Author(s):  
Mario Bondioli ◽  
Martin Goldberg ◽  
Nan Hu ◽  
Chengrui Li ◽  
Olfa Maalaoui Chun ◽  
...  
Keyword(s):  
Default Risk ◽  
Risk Model ◽  
Private Firms ◽  
Corporate Default

THE IMPACT OF LEARNING ON BUSINESS CYCLE FLUCTUATIONS IN THE CONSUMER UNSECURED CREDIT MARKET

2018 ◽  
Vol 24 (5) ◽  
pp. 1087-1123 ◽  
Author(s):  
Matthew N. Luzzetti ◽  
Seth Neumuller
Keyword(s):  
Business Cycle ◽  
Interest Rates ◽  
Default Risk ◽  
Credit Market ◽  
Credit Spread ◽  
Cross Sectional ◽  
Business Cycle Fluctuations ◽  
Unsecured Debt ◽  
Consumer Default ◽  
The Impact

We document that the credit spread on consumer unsecured debt exhibits a persistent, hump-shaped response to an increase in the charge-off rate. This stylized fact poses a significant challenge for a standard model of consumer default in which lenders have rational expectations and, therefore, the credit spread continuously adjusts to reflect the true default incentives of each borrower. In an effort to explain this feature of the data, we construct a model of consumer default with countercyclical income risk in which lenders learn about default risk over time by observing the history of repayment decisions, as is the case in practice. In addition to matching credit spread dynamics, allowing lenders to learn about default risk substantially improves the model’s ability to generate realistic business cycle fluctuations in the consumer unsecured credit market and match the cross-sectional distribution of unsecured debt and dispersion of interest rates observed in the data.

scholarly journals The Effect of Systematic Default Risk on Credit Risk Premiums

2019 ◽  
Vol 11 (21) ◽  
pp. 6039
Author(s):  
Kim
Keyword(s):  
Credit Risk ◽  
Cross Section ◽  
Default Risk ◽  
Credit Default Swap ◽  
Credit Market ◽  
Testable Hypothesis ◽  
Risk Premiums ◽  
Positive Effects ◽  
Market Factors ◽  
Default Risks

This study examines whether systematic default risks affect a cross section of credit risk premiums. Using a structural framework, I derive a theoretical cross-sectional relationship, develop a testable hypothesis, and provide a method to estimate the systematic default risk. The empirical results of US corporate credit default swap data are consistent with my hypothesis. The findings show that, while credit market factors have positive effects on a cross section of credit risk premiums, stock market factors have a negative impact. Regression analyses reveal that the market’s average default probability and the value factor have a significant effect on the credit risk premium. In addition, credit market factors are more influential than equity market factors as systematic default risk factors. The results suggest that systematic and idiosyncratic default risks are priced differently in a cross section of credit risk premiums.

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