The use of the artificial intelligence techniques in evaluating the credit risk in the commercial banks: the artificial neural networks model

Joint Authors

Umari, Aishah
Baba Ahmad, Abd al-Majid

Source

Journal of Economics and Management

Issue

Vol. 6, Issue 2 (31 Dec. 2022), pp.1-22, 22 p.

Publisher

University of Ahmed Draia Faculty of Economics Management and Commercial Sciences

Publication Date

2023-06-30

Country of Publication

Algeria

No. of Pages

22

Main Subjects

Business Administration

Topics

Abstract AR

تهدف هذه الدراسة إلى إمكانية تطبيق نموذج الشبكات العصبية الاصطناعية لتقييم خطر القروض في البنوك التجارية عامة من خلال تطبيقيها على بيانات المتحصل عليها من بنك الفلاحة والتنمية الريفية لولاية أدرار، بالاعتماد على عينة مكونة من 172 مؤسسة (سليمة-عاجزة) حصلت على قرض أو أكثر من البنك، حيث تم سحبها بطريقة عشوائية من مجتمع يشمل 933 مؤسسة.

وبعد تطبيق نموذج الشبكات العصبية توصلت الدراسة إلى وجود علاقة موجبة بين بين نموذج الشبكة العصبية الاصطناعية وبين تقييم القروض، حيث حققت نسبة التصنيف الصحيحة للنموذج 97.71%، كما أوصت الدراسة بضرورة إدراج تقنية الشبكات العصبية الاصطناعية في البنوك باعتبارها من الأساليب الحديثة والتي توفر الجهد والمال وتعطي نتائج دقيقة من خلال القيام باختبار النموذج.

Abstract EN

The goal of this paper is to study the possibility of applying the model of artificial neural networks Ann in assessing the credit risk in the commercial banks in general.

therefore, we applied Ann on the data obtained from the agriculture and rural development bank Badr of Adrar.

the study has been conducted on 172 companies (healthy companies and in deficit companies) that got one or more credits from the bank.

the sample companies had been chosen at random from a population that included 933 companies.

after the application of Ann, we found out a positive relation between Ann and the credit evaluation.

the correct classification rate of the model reached 97.71%.

finally, we recommend, the integration of Ann in banks because it is one of the modern tools that save time and effort and give exact data.

American Psychological Association (APA)

Umari, Aishah& Baba Ahmad, Abd al-Majid. 2023. The use of the artificial intelligence techniques in evaluating the credit risk in the commercial banks: the artificial neural networks model. Journal of Economics and Management،Vol. 6, no. 2, pp.1-22.
https://search.emarefa.net/detail/BIM-1446630

Modern Language Association (MLA)

Umari, Aishah& Baba Ahmad, Abd al-Majid. The use of the artificial intelligence techniques in evaluating the credit risk in the commercial banks: the artificial neural networks model. Journal of Economics and Management Vol. 6, no. 2 (Dec. 2022), pp.1-22.
https://search.emarefa.net/detail/BIM-1446630

American Medical Association (AMA)

Umari, Aishah& Baba Ahmad, Abd al-Majid. The use of the artificial intelligence techniques in evaluating the credit risk in the commercial banks: the artificial neural networks model. Journal of Economics and Management. 2023. Vol. 6, no. 2, pp.1-22.
https://search.emarefa.net/detail/BIM-1446630

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references: p. 22

Record ID

BIM-1446630