الطرق غير التقليدية في تقدير مخاطر القروض البنكية

Abstract EN

This study aimed at how to manage and control the credit risks of banking, By trying to describe the technical methods, while showing the difference in the practical applications of the most important methods that rely on statistical techniques and used prediction such as discriminatory analysis and logistic analysis with other methods nonparameter , such as expert systems and neural networks, the most important results of the study was that non-parameter methods have a better taxonomic ability than Parametric methods, Because they have achieved high ratings and are more flexible in dealing with them, as tools to assist the method of financial analysis in deciding whether to grant loans.