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205456

التنبؤ بالأزمات المالية فى المصارف العراقية بإستخدام الشبکات العصبية

Article

Last updated: 05 Jan 2025

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Subjects

-

Tags

Business Administration

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.

DOI

10.21608/dusj.2018.205456

Keywords

Neural Networks, Financial Crises, Predict, ROC curve

Authors

First Name

مصطفى

Last Name

يوسف

MiddleName

-

Affiliation

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

Email

-

City

-

Orcid

-

First Name

سلمى

Last Name

الدين

MiddleName

على

Affiliation

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

Email

-

City

-

Orcid

-

Volume

1

Article Issue

1

Related Issue

28895

Issue Date

2018-09-01

Receive Date

2021-11-18

Publish Date

2018-09-01

Page Start

44

Page End

51

Print ISSN

2636-3046

Online ISSN

2636-3054

Article File

DUSJ_Volume 1_Issue 1_Pages 44-51.pdf

PDF . 1.3MB

Link

https://dusj.journals.ekb.eg/article_205456.html

Detail API

https://dusj.journals.ekb.eg/service?article_code=205456

Order

5

Publication Type

Journal

Publication Title

Delta University Scientific Journal

Publication Link

https://dusj.journals.ekb.eg/

MainTitle

التنبؤ بالأزمات المالية فى المصارف العراقية بإستخدام الشبکات العصبية

Details

Type

Article

Created At

23 Jan 2023