Τεχνικές ανάπτυξης πιστοληπτικών μοντέλων βαθμολόγησης αιτήσεων
Application credit scoring techniques
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Keywords
Credit score modelsAbstract
According to the regulatory framework set by Basel for financial institutions, the development of appropriate application credit scoring models is necessary for making critical decisions regarding loan applications. The development of such models is based on statistical methods that exploit past data in order to predict the behaviour of future customers of the financial institution. In this thesis we will first present the proposals of the Basel Accords on developing credit scoring models for applications, then we will present several statistical techniques that have been proposed for the development of statistical credit scoring models and we will discuss the advantages and disadvantages of each model. Finally, the methods will be applied to a case study.