التنبؤ بالأزمات المالية فى المصارف العراقية بإستخدام الشبکات العصبية

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Faculty of Business, Delta University for Science and Technology, Gamasa, Egypt

Abstract

The research aims to predict financial crises in the Iraqi banks using neural networks, where the application has been using a sample of Iraqi banks during the period (2007- 2015) using a set of financial ratios (assets to equity, return on assets before tax, net profit to total assets. ..).
The research has come to the importance of using neural networks to predict the financial crisis, reaching the area under the Receiver Operator Characteristic (ROC) curve (0.975) indicating a high accuracy.

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