The present paper aimed at studying the current models of credit portfolio management. There are currently three types of models which consider the risk of credit portfolio: the structural models (Moody's KMV model, and Credit- Metrics model), the intensity models (the actuarial models) and the econometric models (the Macro-factors model). The development of these three types of models is based...

nowadays, credit risk is recognized as one of the most important bankruptcy factors of banks and financial institutions. in order to manage and control this risk, design of credit rating models is undeniable necessity. credit rating is used to identify the probability of credit default and on the other side classify the customers into two groups: good and bad accounts. until now, various statis...

Credit risk management is a process in which banks estimate probability of default (PD) for each loan applicant. Data sets of previous loan applicants are built by gathering their data, and these internal data sets are usually completed using external credit bureau’s data and finally used for estimating PD in banks. There is also a continuous interest for bank to use rule based classifiers to b...

the present paper aimed at studying the current models of credit portfolio management. there are currently three types of models which consider the risk of credit portfolio: the structural models (moody's kmv model, and credit- metrics model), the intensity models (the actuarial models) and the econometric models (the macro-factors model). the development of these three types of models is based...

The Basel II Accord pointed out benefits of credit risk management through internal models to estimate Probability of Default (PD). Banks use default predictions to estimate the loan applicants’ PD. However, in practice, PD is not useful and banks applied credit scorecards for their decision making process. Also the competitive pressures in lending industry forced banks to use profit scorecards...

This paper presents the Conditional Probability of Default (CoPoD) methodology for modelling the probabilities of loan defaults (PoDs) by small and medium size enterprises (SMEs) and unlisted firms as functions of identifiable macroeconomic and financial variables. The process of modelling PoDs represents a challenging task, since the time series of PoDs usually contain few observations, thus m...