The Nexus between Financial Literacy and Loan Defaults and the Financial Outcome of Commercial Banks: Empirical Evidence from Ghana
Authors
Faculty of Economics and Business Administration, Catholic University of Ghana, Accra (Ghana)
Faculty of Economics and Business Administration, Catholic University of Ghana, Accra (Ghana)
Department of Economics, Finance, and Accounting, Fort Hays State University, Fort Hays (USA)
Department of Finance and Economics, University of New Orleans (New Orleans USA)
Article Information
DOI: 10.47772/IJRISS.2026.100500285
Subject Category: Finance and Management
Volume/Issue: 10/5 | Page No: 4188-4205
Publication Timeline
Submitted: 2026-04-30
Accepted: 2026-05-05
Published: 2026-05-29
Abstract
This study investigates the nexus between financial literacy and loan repayment performance within the Ghanaian commercial banking sector. Grounded in a positivist epistemological stance and an objectivist ontology, the research utilizes a descriptive research design to examine the determinants of credit default. The study population comprised all 23 licensed commercial banks in Ghana as of 2026. Using a purposive sampling technique, 19 banks were selected, from which data were retrieved via structured questionnaires from 99 frontline banking professionals, representing an 82.5% response rate. The demographic profile reveals a mature and highly experienced workforce, with 77% of respondents possessing over a decade of institutional tenure and 87.9% holding at least a Bachelor’s degree. Preliminary results indicate a significant male majority (60.4%) in credit-related roles, with the primary workforce concentrated in the 31–40 age cohort (51.6%). Data reliability was confirmed through Cronbach’s Alpha coefficients exceeding the 0.70 threshold. The analytical strategy employed SPSS (Version 27), utilizing descriptive statistics, Exploratory Factor Analysis (EFA), and Pearson’s correlation coefficients to test the relationships between financial literacy dimensions (knowledge, behavior, and attitude) and loan default rates. The study findings provide empirical evidence for the role of financial literacy as a critical tool for enhancing credit management and institutional stability. The research concludes with evidence-based recommendations for policy interventions aimed at mitigating loan defaults through targeted borrower education and refined credit risk frameworks.
Keywords
Financial Literacy, Loan Default, Commercial Banks, Ghana
Downloads
References
1. Adams, R., & White, L. (2026). The impact of regulatory changes on borrowing behavior. Journal of Financial Regulation, 12(3), 45–62. [Google Scholar] [Crossref]
2. Adrian, T., & Shin, H. S. (2020). The shadow banking system: A review of the literature. Annual Review of Financial Economics, 12(1), 1–24. [Google Scholar] [Crossref]
3. Altman, E. I., & Saunders, A. (1998). Credit risk measurement: A guide to value at risk and other paradigms. Risk Books. [Google Scholar] [Crossref]
4. Avery, R., Bostic, R., & Canner, G. (2021). Financial literacy: An overview of research findings and implications for policy. Journal of Consumer Affairs. [Google Scholar] [Crossref]
5. Basel Committee on Banking Supervision. (2019). Basel III: Finalising post-crisis reforms. Bank for International Settlements. [Google Scholar] [Crossref]
6. Brown, A., & Taylor, J. (2024). Financial behavior and loan repayment: An empirical analysis. International Journal of Consumer Studies, 48(2), 210–225. [Google Scholar] [Crossref]
7. Brunnermeier, M. K. (2009). Deciphering the liquidity and credit crunch 2007–2008. Journal of Economic Perspectives, 23(1), 77–100. [Google Scholar] [Crossref]
8. Chen, H., & Volpe, R. P. (2020). An analysis of personal financial literacy among college students: Results from the 2018 National Financial Capability Study. Journal of Financial Counseling and Planning. [Google Scholar] [Crossref]
9. Chen, Y., & Liu, X. (2020). The impact of demographics on loan default rates: Evidence from commercial banks. Journal of Banking and Finance, 112(3), 45–60. [Google Scholar] [Crossref]
10. Chen, Y., & Zhao, L. (2020). The impact of loan defaults on bank liquidity: Evidence from the COVID-19 pandemic. Journal of Banking and Finance, 112(3), 123–134. [Google Scholar] [Crossref]
11. Collins, J., O’Rourke, C., & Garrison, N. (2023). The role of educational materials in improving loan repayment behavior: Evidence from recent studies. Financial Education Review. [Google Scholar] [Crossref]
12. Cooper, D. R., & Schindler, P. S. (2014). Business research methods (12th ed.). McGraw Hill International. [Google Scholar] [Crossref]
13. Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage. [Google Scholar] [Crossref]
14. Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry & research design: Choosing among five approaches. Sage Publications. [Google Scholar] [Crossref]
15. Doe, J., & Lee, M. (2020). Creditworthiness and loan default: A comprehensive study. Finance Research Letters, 35(1), 89–95. [Google Scholar] [Crossref]
16. Foster, K., & Ramirez, T. (2025). Collateral value and loan default: An empirical investigation. Journal of Banking & Finance, 60(4), 102–116. [Google Scholar] [Crossref]
17. Garcia, L., & Thompson, R. (2022). Economic growth and loan default: A comparative analysis. Journal of Financial Stability, 18(4), 123–145. [Google Scholar] [Crossref]
18. Gerrans, P., McKinnon, J., & Speelman, C. (2019). Financial literacy: A review of the literature and implications for practice in Australia. Australian Journal of Management. [Google Scholar] [Crossref]
19. Gonzalez, R., Smith, J., & Lee, T. (2022). Borrower optimism and default risk: A behavioral perspective. Financial Psychology Review, 8(1), 12–29. [Google Scholar] [Crossref]
20. Johnson, A., Thompson, R., & Wang, H. (2021). The effects of COVID-19 on loan default rates: An empirical study. Economic Review, 95(4), 78–92. [Google Scholar] [Crossref]
21. Johnson, M., & Lee, T. (2021). The impact of economic downturns on loan defaults: Evidence from recent crises. International Journal of Banking Studies, 15(2), 67–89. [Google Scholar] [Crossref]
22. Johnson, P. (2021). Interest rates and borrower default: A review of current literature. Economic Studies Quarterly, 37(2), 123–139. [Google Scholar] [Crossref]
23. Joo, S., & Grable, J. E. (2017). An exploratory framework of financial wellness: A study on college students’ financial behaviors and well-being. Journal of Financial Counseling and Planning. [Google Scholar] [Crossref]
24. Khan, M., Ali, R., & Ahmed, S. (2023). Comparative analysis of loan default impacts on regional versus multinational banks. International Journal of Finance and Economics, 28(1), 45–60. [Google Scholar] [Crossref]
25. Khandani, A. E., Kim, A. J., & Lo, A. W. (2010). Consumer credit risk models via machine learning algorithms. Journal of Financial Services Research, 38(1), 5–35. [Google Scholar] [Crossref]
26. Koehn, M., & Santomero, A. M. (1980). Regulation of bank capital and portfolio risk. Journal of Finance, 35(5), 1235–1244. [Google Scholar] [Crossref]
27. Lee, T., Kim, J., & Park, H. (2021). Economic downturns and bank performance: An analysis during the COVID-19 crisis. Financial Stability Review, 15(2), 78–92. [Google Scholar] [Crossref]
28. Liu, S., Zhang, Q., & Patel, R. (2021). Creditworthiness and loan default: A comprehensive analysis. International Journal of Financial Studies, 9(2), 100–115. [Google Scholar] [Crossref]
29. Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature. [Google Scholar] [Crossref]
30. Martin, J., & Wong, K. (2020). Regulatory changes and their effects on loan default rates: A longitudinal study. Finance Research Letters, 34(3), 201–210. [Google Scholar] [Crossref]
31. Martinez, L., & Garcia, M. (2023). Lending practices and default rates: A comparative study of commercial banks. Banking Research Quarterly, 15(2), 34–50. [Google Scholar] [Crossref]
32. Merton, R. C. (1974). On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance, 29(2), 449–470. [Google Scholar] [Crossref]
33. Miller, R., & Patel, S. (2018). Loan terms and borrower outcomes: A comparative analysis. Journal of Economic Perspectives, 32(1), 77–94. [Google Scholar] [Crossref]
34. Nguyen, H., & Chen, L. (2021). Debt-to-income ratios: Implications for borrowers’ financial health. Journal of Personal Finance, 19(3), 56–72. [Google Scholar] [Crossref]
35. Nguyen, H., Tran, P., & Kim, J. (2023). Psychological influences on borrower behavior: Understanding default risk through attitudes towards debt. Behavioral Finance Journal, 29(1), 45–62. [Google Scholar] [Crossref]
36. Nguyen, T., & Tran, P. (2022). The effects of stringent lending criteria on economic growth amidst rising loan defaults. Economic Modelling, 102(4), 156–170. [Google Scholar] [Crossref]
37. Norvilitis, J. M., Szablicki, P., & Wilson, S. (2022). The impact of cultural attitudes on debt management among college students: A cross-cultural comparison. International Journal of Consumer Studies. [Google Scholar] [Crossref]
38. Patel, A., & Kumar, R. (2023). Portfolio diversification and loan default risk: Evidence from emerging markets. Journal of Financial Stability, 50(1), 100–115. [Google Scholar] [Crossref]
39. Patel, R., & Kumar, S. (2019). Secured vs unsecured loans: An analysis of default rates in different loan types. Journal of Economic Perspectives, 33(2), 95–112. [Google Scholar] [Crossref]
40. Sani, A. (2025). Effects of non-performing loans on the financial performance of selected banks on the Ghana Stock Exchange. International Journal of Research and Scientific Innovation (IJRSI), 12(10), 2321-2705 [Google Scholar] [Crossref]
41. Saunders, M., Lewis, P., & Thornhill, A. (2014). Research methods for business students (7th ed.). Pearson Education Limited. [Google Scholar] [Crossref]
42. Saunders, M. N. K., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson. [Google Scholar] [Crossref]
43. Schiller, R. J. (2008). The subprime solution: How today's global financial crisis happened, and what to do about it. Princeton University Press. [Google Scholar] [Crossref]
44. Shiller, R. J. (2015). Irrational exuberance (2nd ed.). Princeton University Press. [Google Scholar] [Crossref]
45. Stiglitz, J. E. (2019). The price of inequality: How today's divided society endangers our future. W. W. Norton & Company. [Google Scholar] [Crossref]
46. Smith, A., & Johnson, R. (2019). Loan default risk and its implications for commercial bank profitability: A review of recent findings. Banking Research Quarterly, 34(2), 67–82. [Google Scholar] [Crossref]
47. Smith, A., Johnson, B., & Miller, C. (2018). Credit scores as predictors of loan default: A comprehensive review. Journal of Risk Management, 12(1), 33–50. [Google Scholar] [Crossref]
48. Smith, J., & Jones, T. (2019). Purposeful borrowing: Impacts on repayment rates. Journal of Economic Behavior, 22(5), 333–350. [Google Scholar] [Crossref]
49. Smith, J., & Wang, T. (2023). Macroeconomic indicators and their impact on loan defaults: A sectoral analysis. Global Finance Journal, 42(1), 22–37. [Google Scholar] [Crossref]
50. Stango, V., & Zinman, J. (2019). Fuzzy math: Error rates in consumer credit markets. Review of Financial Studies. [Google Scholar] [Crossref]
51. Thompson, E., & Lee, C. (2022). Interest rates and loan default: An empirical examination. Journal of Economic Perspectives, 36(4), 85–100. [Google Scholar] [Crossref]
52. Thompson, G., et al. (2023). Macroeconomic indicators and loan performance: A cross-country analysis. Global Finance Journal, 45(2), 67–84. [Google Scholar] [Crossref]
53. Vasicek, O. A. (1987). Probability of loss on loan portfolio. Risk, 4(1), 25–30. [Google Scholar] [Crossref]
54. Williams, D., & Garcia, M. (2022). Unemployment rates and loan default risk: An empirical study. International Journal of Financial Studies, 10(1), 15–30. [Google Scholar] [Crossref]
55. Zohar, A. (2021). Regulating fintech: A comparative perspective on global developments. Journal of Financial Regulation, 7(3), 357–375. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- The Correlation of Marketing Strategies and Financial Performance of Motor Parts Businesses in the City of Mati
- The Role of Blockchain-Based Smart Contracts in Enhancing Financial Transparency and Efficiency in the Emerging Market
- Exploring Intention among Universiti Teknologi Mara Terengganu Community to Donate into Education Waqf Fund
- Utilizing AHP Method to Rank Preference of Waqf Fund Usage for UiTM Terengganu, Malaysia
- The Influence of Portfolio Diversification on Financial Performance: Evidence from Listed Banks on the Ghana Stock Exchange