We present a multi-step model to measure portfolio credit risk that integrates exposure simulation and portfolio credit risk techniques. Thus, it overcomes the major limitation currently shared by portfolio models with derivatives. Specifically, the model is an improvement over current portfolio credit risk models in three main aspects. First, it defines explicitly the joint evolution of market...

We present a multi-step model to measure portfolio credit risk that integrates exposure simulation and portfolio credit risk techniques. Thus, it overcomes the major limitation currently shared by portfolio models with derivatives. Specifically, the model is an improvement over current portfolio credit risk models in three main aspects. First, it defines explicitly the joint evolution of market...

This paper is part of a series explaining various methodologies for defining and measuring the contributions of systematic factors to economic capital as well as for hedging systematic risk in credit portfolios. Multi-factor credit portfolio models are used widely today for measuring and managing economic capital as well as for pricing credit portfolio instruments such as collateralized debt ob...

The purpose of this study is to find the relationship between lending to Small and Medium-size Exporter Enterprises (E-SMEs) and the use of Basel II Capital Accord for the first time in the banking system of Iran. Results showed that 96.69 percent of small firms were in the very low risk category of credit portfolio. This proof explains a consistent and balanced relationship between risk- weigh...

We consider a structural credit model for a large portfolio of credit risky assets. By considering the large portfolio limit we introduce a stochastic partial differential equation which describes the evolution of the density of asset values. The loss function of the portfolio is then a function of the evolution of this density at the default boundary. We develop numerical methods for pricing a...

This paper focuses on the application of an original global optimization algorithm, based on the hybridization between a genetic algorithm and a semi-deterministic algorithm, for the resolution of various constrained optimization problems for realistic credit portfolios. Results are analyzed from a financial point of view in order to confirm their relevance. KEYWORDCredit Portfolio Management, ...

A factor model for short-term probabilities of default and other corporate exits is proposed for generating default correlations while permitting missing data. The factor model can then be used to produce portfolio credit risk profiles (default-rate and portfolio-loss distributions) by complementing an existing credit portfolio aggregation method with a novel simulationconvolution algorithm. We...

Using particle system methodologies we study the propagation of financial distress in a network of firms facing credit risk. We investigate the phenomenon of a credit crisis and quantify the losses that a bank may suffer in a large credit portfolio. Applying a large deviation principle we compute the limiting distributions of the system and determine the time evolution of the credit quality ind...

State-of-the-art credit risk portfolio models and the New Basel Capital Accord consider only symmetric dependencies between borrowers in a portfolio, such as correlations. Recently, asymmetric dependencies have been introduced by Davis/Lo (2001) among others. However, statistical estimation techniques and empirical evidence on contagion is still rather scarce. The present paper provides a simpl...

Using particle system methodologies we study the propagation of financial distress in a network of firms facing credit risk. We investigate the phenomenon of a credit crisis and quantify the losses that a bank may suffer in a large credit portfolio. Applying a large deviation principle we compute the limiting distributions of the system and determine the time evolution of the credit quality ind...