Predicting Microfinance Credit Default: A Study of Nsoatreman Rural Bank, Ghana

Boateng, Ernest and Oduro, Francis (2018) Predicting Microfinance Credit Default: A Study of Nsoatreman Rural Bank, Ghana. Journal of Advances in Mathematics and Computer Science, 26 (1). pp. 1-9. ISSN 24569968

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This paper examined the factors predicting microfinance credit default in Northern Ghana. Data was collected from 409 microcredit beneficiaries of Nsoatreman Rural Bank who were located in urban, semi-rural and rural areas. Logistic regression was used to analyse the data. It was evident from the study that factors such as educational level, number of dependents, type of loan, adequacy of the loan facility, duration for repayment of loan, number of years in business, cost of capital and period within the year the loan was advanced to the client had a significant effect on credit default. To enhance the efficient management of microcredit, it is encouraged that Microfinance Institutions (MFI’S) adopt the group loan policy as the main mode of advancing micro loans to clients rather than the individual loan policy. Again, the MFI’S should team up with the Ministry of Education through the Non-Formal Education Division to organize functional literacy workshops for microcredit beneficiaries so as to equip them with the required knowledge to do successful business. Also, the MFI’S should consider giving loans with repayment duration of at least 12 months and at most 24 months.

Item Type: Article
Subjects: Eprints STM archive > Mathematical Science
Depositing User: Unnamed user with email admin@eprints.stmarchive
Date Deposited: 27 Apr 2023 07:58
Last Modified: 02 Jan 2024 13:06

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