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Credit risk evaluation in Tose`e Ta`avon Bank in Gilan province. by Artificial Neural Network (MLP) and Logistic Regression

عنوان مقاله: Credit risk evaluation in Tose`e Ta`avon Bank in Gilan province. by Artificial Neural Network (MLP) and Logistic Regression
شناسه ملی مقاله: ICOEM01_037
منتشر شده در هفتمین کنفرانس بین المللی اقتصاد و مدیریت در سال 1395
مشخصات نویسندگان مقاله:

Reza Aghajan Nashtaei - Department of Business management, Rasht Branch, Islamic Azad University, Rasht, Iran
Seyedeh Maryam Taghavi Takyar - Department of Business management, Rasht Branch, Islamic Azad University, Rasht, Iran
Seyed Reza Nouri Abkenar - Department of Business management, Rasht Branch, Islamic Azad University, Rasht, Iran

خلاصه مقاله:
The most important duty of banks is to grant credit facilities to clients. Banks in every country aftercollecting funds, allocate the funds to different economic sectors. In fact, this practice of banks, boostvarious economic sector in each country to perform better and finally, the basis for growth andeconomic development are provided. Banks can develop if they allocate financial resources to eligiblecustomers. The correct allocation of financial resources provides the basis for the survival of thebanks. The important thing is that before lending to customers, the degree of customer risk should beevaluated properly then decisions are taken in regards to the customers. Obviously, any action in thefield of control will be useless after granting facilities.The most important risk facing banks is credit risk which includes loans that have been paid in thepast. Overall, credit risk for a bank is the possibility of losing time or generally obligations beingneglected by debtors because of their inability to fulfill their obligations to the bank. These obligationsusually involve repayment of the debts and their interest to the bank on the specified date (Yurdakul,2014).

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/535957/