This paper discusses the use of dynamic modelling in consumer credit risk assessment. It surveys the approaches and objectives of behavioural scoring, customer scoring and profit scoring. It then investigates how Markov chain stochastic processes can be used to model the dynamics of the delinquency status and behavioural scores of consumers. It discusses the use of segmentation, mover–stayer models and the use of second- and third-order models to improve the fit of such models. The alternative survival analysis proportional hazards approach to estimating when default occurs is considered. Comparisons are made between the ways credit risk is modelled in consumer lending and corporate lending
Ph.D. (Mathematical Statistics)This thesis considers the modelling and prediction of consumer credit...
A credit risk monitoring model using Markov Chains was first prescribed by Cyert, Davidson and Thom...
The fact that the Basel Accord formula is based on a corporate credit risk model and the mis-rating ...
This paper discusses the use of dynamic modelling in consumer credit risk assessment. It surveys the...
Although the corporate credit risk literature has many studies modelling the change in the credit ri...
The corporate credit risk literature has many studies modelling the change in the credit risk of cor...
The use of credit scoring - the quantitative and statistical techniques to assess the credit risks i...
Contents * A: Historical development of credit and behavioural scoring * R W Johnson: Legal, social...
AbstractAlthough the corporate credit risk literature includes many studies modelling the change in ...
Markov chains have been widely used to the credit risk measurement in the last years. Using these ch...
This paper derives a model for the profitability of credit cards, which allow lenders to find the op...
With the use of the Markov chain framework this work investigates the dynamics between the scores ge...
Credit scoring systems were originally built to allow organisations to measure how likely an applica...
Ph.D. (Mathematical Statistics)This thesis considers the modelling and prediction of consumer credit...
Ph.D. (Mathematical Statistics)This thesis considers the modelling and prediction of consumer credit...
Ph.D. (Mathematical Statistics)This thesis considers the modelling and prediction of consumer credit...
A credit risk monitoring model using Markov Chains was first prescribed by Cyert, Davidson and Thom...
The fact that the Basel Accord formula is based on a corporate credit risk model and the mis-rating ...
This paper discusses the use of dynamic modelling in consumer credit risk assessment. It surveys the...
Although the corporate credit risk literature has many studies modelling the change in the credit ri...
The corporate credit risk literature has many studies modelling the change in the credit risk of cor...
The use of credit scoring - the quantitative and statistical techniques to assess the credit risks i...
Contents * A: Historical development of credit and behavioural scoring * R W Johnson: Legal, social...
AbstractAlthough the corporate credit risk literature includes many studies modelling the change in ...
Markov chains have been widely used to the credit risk measurement in the last years. Using these ch...
This paper derives a model for the profitability of credit cards, which allow lenders to find the op...
With the use of the Markov chain framework this work investigates the dynamics between the scores ge...
Credit scoring systems were originally built to allow organisations to measure how likely an applica...
Ph.D. (Mathematical Statistics)This thesis considers the modelling and prediction of consumer credit...
Ph.D. (Mathematical Statistics)This thesis considers the modelling and prediction of consumer credit...
Ph.D. (Mathematical Statistics)This thesis considers the modelling and prediction of consumer credit...
A credit risk monitoring model using Markov Chains was first prescribed by Cyert, Davidson and Thom...
The fact that the Basel Accord formula is based on a corporate credit risk model and the mis-rating ...