Journal of Credit Risk
ISSN:
1755-9723 (online)
Editor-in-chief: Linda Allen and Jens Hilscher
About this journal
With the adoption of machine learning and artificial intelligence in financial institutions, credit analysis methodologies and applications are rapidly evolving.
The Journal of Credit Risk is at the forefront in tackling the many issues and challenges posed by these novel technologies both in and out of periods of financial crisis. Topics include fintech, liquidity risk and the connection to credit risk, the valuation and hedging of credit products, and the promotion of 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 reports on, but not limited to, the following topics.
- Modeling 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.
- The pricing and hedging of credit derivatives.
- Structured credit products and securitizations, eg, collateralized debt obligations, synthetic securitizations, credit baskets, etc.
- Machine learning and artificial intelligence.
- Credit risk implications of blockchain, crypto currencies and fintech firms.
- Measuring, managing and hedging counterparty credit risk.
- Credit risk transfer techniques.
- Liquidity risk and extreme credit events.
- Regulatory issues, such as Basel II and III, internal ratings systems, credit-scoring techniques and credit risk capital adequacy.
Abstracting and Indexing: Scopus; Web of Science - Social Science Index; EconLit; Excellence Research Australia; Econbiz; and Cabell’s Directory
Journal Metrics:
Journal Impact Factor: 0.3
5-Year Impact Factor: 0.5
CiteScore: 1.1
Latest papers
The robustness of estimators in structural credit loss distributions
This paper examines the performance of MM, ML and OLS estimators through Monte Carlo experiments for various sample sizes and correlation values when the true data is from non-Gaussian processes.
Default predictors in credit scoring: evidence from France’s retail banking institution
This paper presents the set-up of a behavioral credit-scoring model, and estimates such a model using an auto loan data set of one of the largest multinational financial institutions based in France.
Systematic risk and yield premiums in the bond market
This paper develops a method for estimating the full systematic risk of bonds and thereby enables a fuller understanding of the risk and return on fixed-income instruments.
Sovereign risk and the pricing of corporate credit default swaps
The relationship between counterparty default and interest rate volatility and its impact on the credit risk of interest rate derivatives
How banks’ capital ratio and size affect the stability of the banking system: a simulation-based study
Forecasting credit card portfolio losses in the Great Recession: a study in model risk
Redesigning ratings: assessing the discriminatory power of credit scores under censoring
Analysis of credit portfolio risk using hierarchical multifactor models
Sovereign credit ratings and the new European Union member states
A parametric approach to counterparty and credit risk
Risk analysis probability of default: a stochastic simulation model
The large homogeneous portfolio approximation with a two-factor Gaussian copula and random recovery rate
Efficient Monte Carlo counterparty credit risk pricing and measurement
Collateral and credit issues in derivatives pricing
Asset correlation in residential mortgage-backed security reference portfolios
This paper contributes to the literature about estimating asset correlation in two ways. First, we compare the performance of different estimation approaches in a simulation study.
Estimation of risk measures for large credit portfolios
In this paper, saddle point techniques are used in the computation of risk measures for large mark-to-market credit portfolios with stochastic recovery and correlation between obligors depending on the state of the economy.
A credit value adjustment scheme for bank loan portfolios
In this study the authors develop an analytical scheme that integrates a large spectrum of typical bank loans and credits, accommodates common bank loan portfolio chronological interdependencies and allows the necessary credit value adjustments (CVAs) for the unilateral default risk exposures of lending institutions both at the individual loan level and at the entire portfolio level.
Asset correlation of retail loans in the context of the new Basel Capital Accord
The approach to the measurement of credit risk recommended by the new Basel Capital Accord (Basel II) gives a wide choice of basic risk estimators. However, the rules for estimating asset correlations are defined in an ambiguous manner.
Usage and exposures at default of corporate credit lines: an empirical study
