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العنوان
Determination of the Optimal Solutions for Credit Risk Transfer and Predicting Banks Financial Failures Using Econometric Models /
المؤلف
Ahmed, Ahmed Sayed Abdelzaher Sayed.
هيئة الاعداد
باحث / أحمد سيد عبد الظاهر سيد
ahmed01133@commer.bsu.edu.eg
مشرف / عيد احمد ابو بكر
.
مشرف / باتريشيا شريفير
.
مناقش / حسني احمد الخولي
.
مناقش / صفية احمد ابو بكر
الموضوع
Credit - Mathematical models.
تاريخ النشر
2019.
عدد الصفحات
205 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الأعمال والإدارة والمحاسبة (المتنوعة)
الناشر
تاريخ الإجازة
13/3/2019
مكان الإجازة
جامعة بني سويف - كلية التجارة - الرياضه والتامين
الفهرس
Only 14 pages are availabe for public view

from 215

from 215

Abstract

The major concern of this study included three main parts. The first part focused on determining
the optimal solutions for credit risk transfer. In other words, how commercial banks layoff their
credit risks to become less risky. The researcher focused on providing a theoretical framework
illustrated how commercial banks can choose among loan sales, credit derivatives or
securitization. The second part focused on testing the effect of the convergence between
commercial banks and insurance companies on banks‘ profitability. We collected data from the
U.S. financial market to provide recommendations for the Egyptian financial market. Our results
showed that convergence between commercial banks and insurers added value in general to
banks. Also, we found that convergence between commercial banks and Multiline insurers and
managed care were the best alternatives. Finally, the third part focused on testing the prediction
accuracy of some statistical models for bankruptcy prediction and we focused on determining the
major reasons that caused banks‘ failure. We concluded that, the prediction accuracy of the
Dynamic Hazard Model outweighs the accuracy of Multivariate Discriminant Analysis andLogistic Regression Analysis.