Technical paper/Credit risk
Optimal posting of collateral with recurrent neural networks
Pierre Henry-Labordère applies neural networks to a control problem approach for managing collateral
An efficient portfolio loss model
This paper develops a parsimonious model for evaluating portfolio credit derivatives dependent on aggregate loss.
Counterparty risk: credit valuation adjustment variability and value-at-risk
This paper proposes an efficient method to obtain the distribution of the CVA at a given risk horizon, from which risk measures such as the CVA VaR can be computed.
A statistical technique to enhance application scorecard monitoring
Application scoring plays a critical role in determining the future quality of a lender’s book. It is therefore important to monitor the performance of an application scorecard to ensure it performs as expected.
Credit portfolio stress testing using transition matrixes
In this paper, the authors propose a new methodology for modeling credit transition probability matrixes (TPMs) using macroeconomic factors.
Capital allocation under the Fundamental Review of the Trading Book
Quants propose an allocation method for internal model capital charges
Validation of the backtesting process under the targeted review of internal models: practical recommendations for probability of default models
This paper provides practical recommendations for the validation of the backtesting process under the targeted review of internal models (TRIM).
Loss given default estimation: a two-stage model with classification tree-based boosting and support vector logistic regression
In this paper, the authors using a data set composed of five Japanese regional banks, propose an loss given default estimation model using a two-stage model, classification tree-based boosting and support vector regression (SVR).
An optimized support vector machine intelligent technique using optimized feature selection methods: evidence from Chinese credit approval data
This paper focuses on feature selection methods for support vector machine (SVM) classifiers, checking their optimality by comparing them with some statistical and baseline methods.
Procyclicality and risk-based access: valuing the embedded credit default swap of employing bilateral credit limits in financial market infrastructures
In light of institutional knowledge, this paper presents the similarities between the survivor-pay component (Tranche 2) of the Canadian large-value transfer system (LVTS) and credit default swap (CDS) contracts.
Quantification of model risk in stress testing and scenario analysis
In this paper, the author's aim is to empirically analyze the numerical quantification of model risk, yielding exact buffers in currency amounts (for a given model uncertainty).
A fifty-year retrospective on credit risk models, the Altman Z-score family of models and their applications to financial markets and managerial strategies
This paper reflects upon the evolution of the Altman family of bankruptcy prediction models, as well as their extensions and multiple applications in financial markets and managerial decision making.
Calculating capital charges for sector concentration risk
This paper proposes a methodology to quantify capital charges for concentration risk when economic capital calculations are conducted within a multifactor Merton framework.
A general framework for constructing bank risk data sets
This paper proposes a general framework for constructing bank risk data sets, which provides an integrated process from data sources to comprehensive risk data sets.
Procyclicality of capital and portfolio segmentation in the advanced internal ratings-based framework: an application to mortgage portfolios
This paper investigates the procyclicality of capital in the advanced internal ratings based (A-IRB) Basel approach for retail portfolios, and identifies the fundamental assumptions required for stable A-IRB risk weights over the economic cycle.
An empirical study on credit risk management: the case of nonbanking financial companies
The aim of this paper is to predict future default behaviors of nonbank financial company customers using credit scores.
A new model for bank loan loss given default by leveraging time to recovery
In this paper, the author estimates a two-equation system: one for LGD that incorporates time to recovery as one of the model explanatory variables, and the other for time to recovery using survival models that address data censoring.
Default contagion among credit modalities: evidence from Brazilian data
The aim of this paper is to assess the impact of defaulting on one personal credit modality on future defaults on other modalities. Using Brazilian microdata, the authors run a logistic regression to estimate the probability of default on a given credit…
Forecasting corporate defaults in the German stock market
In this paper, the authors estimate and test several default risk models using new and unique data on corporate defaults in the German stock market.
Modeling dependent risk factors with CreditRisk+
In this paper, an extension of the CreditRisk+ model, called the mixed vector model, is proposed.
Consumer risk appetite, the credit cycle and the housing bubble
In this paper, we explore the role of consumer risk appetite in the initiation of credit cycles and as an early trigger of the US mortgage crisis.
Credit default prediction using a support vector machine and a probabilistic neural network
In this study, the authors address the fact that the ranking of classifiers varies for different criteria with measures under different circumstances, by proposing the simultaneous application of support vector machine and probabilistic neural network …