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What is Credit Risk in Rural Banking about?
This document presents a case study on credit risk management at Atwima Kwanwoma Rural Bank in Ghana. It discusses how logistic regression models can be used to identify customer characteristics that affect credit risk and default probability. The study developed a logistic regression model using customer data on demographics, loans and repayments. The model found that factors like gender, age, marital status, dependents, occupation and loan amount significantly impact default risk. It accurately classified
- Author
- Rajashekar Gatla
- Language
- EN