Determinants of business loan default in Ghana
Akwaa-Sekyi Ellis Kofi, Bosompra Portia
Abstract
Akwaa-Sekyi Ellis Kofi, Bosompra Portia
Abstract
The initiation, funding, servicing and monitoring of loans by financial intermediaries has been done without regard to some critical factors which could have averted the likelihood of default. The study aimed at measuring the extent that owner-specific, borrower-specific, loan and lender-specific characteristics could determine the probability of loan default. The study used logistic regression for 224 business customers of a bank in Ghana from its nation-wide branches. The study found that owner’s extra income (ownership characteristics), multiple borrowing, diversion of loan purpose (borrower characteristics), loan price, loan purpose, loan age, repayment plan (loan characteristics) and underfunding (lender characteristics) significantly determined the probability of business loan default. The overall model predicted up to 78.5% of variations in the likelihood of default. The hierarchy of strong determinants given by their odd ratios were loan purpose (47.9 times), underfunding (19.2 times), diversion of loan purpose (11.7 times) multiple borrowing (9.4 times) and owner’s extra income (8.2 times). The study can conclude that financial intermediaries should be wary of the credit granting process taking cognisance of ownership, borrower, loan and lender characteristics especially the significant predictors. Combining quantitative and qualitative variables as determinants of default could be considered in future.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The initiation, funding, servicing and monitoring of loans by financial intermediaries has been done without regard to some critical factors which could have averted the likelihood of default. The study aimed at measuring the extent that owner-specific, borrower-specific, loan and lender-specific characteristics could determine the probability of loan default. The study used logistic regression for 224 business customers of a bank in Ghana from its nation-wide branches. The study found that owner’s extra income (ownership characteristics), multiple borrowing, diversion of loan purpose (borrower characteristics), loan price, loan purpose, loan age, repayment plan (loan characteristics) and underfunding (lender characteristics) significantly determined the probability of business loan default. The overall model predicted up to 78.5% of variations in the likelihood of default. The hierarchy of strong determinants given by their odd ratios were loan purpose (47.9 times), underfunding (19.2 times), diversion of loan purpose (11.7 times) multiple borrowing (9.4 times) and owner’s extra income (8.2 times). The study can conclude that financial intermediaries should be wary of the credit granting process taking cognisance of ownership, borrower, loan and lender characteristics especially the significant predictors. Combining quantitative and qualitative variables as determinants of default could be considered in future.
Key concepts: Loan, Non-conforming loan, Non-performing loan, Business, Cross-collateralization, Amortizing loan, Intermediary, Term loan