Technical paper/Credit risk
Internet financial risk assessment in China based on a particle swarm optimization–analytic hierarchy process and fuzzy comprehensive evaluation
The authors propose a comprehensive evaluation system to index internet financial risk, based on the identification of China's internet financial risk.
Looking beyond SA-CCR
An alternative calculation of exposure at default that handles complex portfolios is presented
Forecasting the loss given default of bank loans with a hybrid multilayer LGD model by extending multidimensional signals
The authors employ signaling theory and machine learning methods to investigate loss given default predictions of commercial banks and propose a method to improve the accuracy of these predictions.
Performance validation of representative sample-balancing methods in loan credit-scoring scenarios
The authors validate 12 of the most representative sample-balancing methods used for credit-scoring models, finding that a combined SMOTE and Editor Nearest Neighbor method is optimal.
Estimating correlation parameters in credit portfolio models under time-varying and nonhomogeneous default probabilities
This paper proposes new maximum likelihood estimation methods that offer greater flexibility than current methods and can account for finite portfolio sizes, scarce default data and time varying, nonhomogeneous default probabilities.
Risks of long-term auto loans
The authors investigate the borrower risk factors, delinquency rates, yield curves, and interest rates of long-term auto loans.
Risk contagion and bank stability: the role of credit risk and liquidity risk
The authors put forward a systemic risk measurement model and measure systemic risk in China's banking sector for the period 2013-18.
Quantification of model risk with an application to probability of default estimation and stress testing for a large corporate portfolio
This paper discusses the building of obligor-level rather than segment-level hazard rate corporate probability of default models for stress testing.
Distance to default based on the CEV–KMV model
The author applies the CEV process to the KMV model in order to assess default risk, finding that this method improves forecasting ability.
An effective credit rating method for corporate entities using machine learning
The authors propose a new method to design credit risk rating models for corporate entities using a meta-algorithm which exploits information embedded in expert-assigned credit ratings to rank customers.
Merton’s model with recovery risk
By adding a correlated risk driver to Merton's model for corporate bond pricing, the authors model the empirically observed recovery risk premium.
A general firm value model under partial information
The authors propose a general structural default model combining enhanced economic relevance and affordable computational complexity.
A new approach to detecting change in credit quality
The author presents a new, computationally simple framework for quantifying and detecting changes in established companies' corporate credit quality.
On comprehensive balance sheet stress testing and net interest income risk attribution
In this paper the authors propose a framework for granular-level stressed net interest income calculation and profit-and-loss risk attribution.
A structural credit risk model based on purchase order information
This paper proposes a credit risk model based on purchase order information to address the deficiencies of monitoring methods that use only financial statements.
Bank-sourced transition matrixes: are banks’ internal credit risk estimates Markovian?
This study explores banks’ internal credit risk estimates and the associated banksourced transition matrixes.
Approximating lifetime expected credit loss
Credit rating and collateral value's changes have a measurable impact on creditworthiness
A survey of machine learning in credit risk
This paper surveys the impressively broad range of machine learning methods and application areas for credit risk.
NLP and transformer models for credit risk
News feeds are factored into models to predict credit events
Review of credit risk and credit scoring models based on computing paradigms in financial institutions
This paper provides an overview of some prominent credit scoring models used in financial institutions and provides an insight into how the use and integration of popular computing paradigms based on NNs, machine learning, game theory and BDA in credit…
Empirical validation of the credit rating migration model for estimating the migration boundary
In this paper, a structural model for credit rating migration is developed and validated, by which the migration boundary is recovered for the first time.
Small and medium-sized enterprises that borrow from "alternative" lenders in the United Kingdom: who are they?
This study provides a general overview of the external financing landscape for the UK SMEs and an exploratory analysis of the SME portfolio of one of the alternative lenders in the United Kingdom.
A numerical simulation approach to study systemic risk in banking systems
The authors introduce a simple numerical algorithm to study banking systems subject to credit risk. The algorithm is based on a model that is completely defined by only two parameters.
The cost of hedging XVA
HVA is framed consistently with other valuation adjustments