Nonperforming Loans and Performance of Financial Institutions in East Africa: Evidence from Kabale District, Uganda
This research evaluated the performance of financial institutions in the Kabale district in relation to the effect of non-performing loans. The following research goals served as the study’s direction: to evaluate the effects of nonperforming loans on financial institutions, to evaluate the credit monitoring and recovery practices employed by financial institutions, and to ascertain the connection between loan evaluation and the performance of financial institutions. The study adopted a descriptive survey design. The population of the study included 10 financial institutions. A sample size of 149 respondents was used, and the study used purposive and random sampling techniques as sampling techniques. Questionnaire survey and interview guides were used for data collection, while both quantitative and qualitative data analysis was used. It was found that individuals from all the surveyed monetary institutions’ staff generally agree that factors such as fund redirection, over or underneath funding, undermined integrity, credit operators’ capacity limitations, firm failures, deliberate default, poor portfolio diversification, and changing policy environments contribute to the occurring of nonperforming loans were the specific financial institution determinants causing the occurrence of non-performing loans. On the determinants of nonperforming loans on financial institutions, the majority of the respondents (138, 98.6%) revealed that financial institutions provide loans to customers, while only 2(1.4%) revealed that they don’t provide loans. On ways of credit assessment and loan default, it was found that the majority (69.3%) of respondents firmly concur (M = 1.33, SD = 0.516) that experiencing a know your customer policy in force results in a high loan quality, 32.8% agreed with easily admitted borrowers usually default (M = 2.791, SD = 1.090), 65.4% of the respondents agreed with poor risk assessment would lead to loan default (M = 1.4, SD = 0.682), and only 19.5% mentioned that good loan underwriting ensures loan performance was one of the ways of credit assessment and loan default (M = 2.25, SD = 0.957). There was a weakly positive association (r=0.501, p<0.05) between loan evaluation and the performance of financial institutions. There is a need for financial institutions to develop a flexible credit method that offers sufficient user choices, in-depth credit analysis, a genuine approval process, proactive monitoring, and obvious recovery strategies for subpar loans.
Achieng, S. (2021). The Effect of Bank-Specific Factors on Lending by Commercial Banks in Kenya. University of Nairobi.
Alex, S. (2021). Nonperforming Loans and Performance of Financial Institutions in Kabale District. Kabale University.
Benson, T., & Ayiga, N. (2022). Classifying the Involvement of Men and Women in Climate Smart Agricultural Practices in Kayonza Sub-county, Kanungu District, Uganda.
Berg, T. (2015). Playing the devil’s advocate: The causal effect of risk management on loan quality. The Review of Financial Studies, 28(12), 3367–3406.
Bernanke, B. S., Gertler, M., & Gilchrist, S. (2009). The financial accelerator in a quantitative business cycle framework. Handbook of macroeconomics, 1, 1341-1393.
Bhalla, N., Kaur, I., & Sharma, R. K. (2022). Examining the Effect of Tax Reform Determinants, Firms’ Characteristics and Demographic Factors on the Financial Performance of Small and Micro Enterprises. Sustainability, 14(14), 8270.
Bismark, O. T. (2021). Non-Performing Loans and Bank’s Profitability: Empirical Evidence from Ghana (Doctoral dissertation, Ritsumeikan Asia Pacific University).
Celestin, M. B. O. N. I. G. A. B. A. (2019). Panoramas and experiments in financial performance of commercial banks in Rwanda: Lesson from nonperforming loan management. International Journal of Science and Business, 3(6), 250-270.
Džidić, A., Živko, I., & Čolak, A. (2022). Macroeconomic Factors of Non-Performing Loans: The Case of Bosnia And Herzegovina. Ekonomska misao i praksa, 31(2), 421-438.
Ekong, E. U., & Ikpe Michael, E. (2022). Interrogating the Impact of Microfinance Banks on the Living Conditions of the Rural Poor in Akwa Ibom State, Nigeria. 1999-2020. Journal of Economics, Management and Trade, 28(3), 42–52.
French, K., Baily, M., Campbell, J., Cochrane, J., Diamond, D., Duffie, D., Kashyap, A., Mishkin, F., Rajan, R., & Scharfstein, D. (2010). The Squam Lake report: fixing the financial system. Journal of Applied Corporate Finance, 22(3), 8–21.
Justus, A. (2022). Analysis of Loan Repayment In Uganda’s Commercial Banks. Makerere University.
Kairys, D. (2023). The influence of business cycle and working capital management on real estate developers profitability in baltic countries (Doctoral dissertation, Vilniaus universitetas).
Kitonyi, J. M. (2019). Nonperforming loans and financial performance of microfinance institutions in Kenya (Doctoral dissertation, St. Paul’s University).
Leitner, S. M., & Stehrer, R. (2016). The role of financial constraints for different innovation strategies: evidence for CESEE and FSU countries. WIIW Working Paper.
Migwi, J. M. (2013). Credit Monitoring and recovery strategies adopted by Commecial Banks in Kenya. University of Nairobi.
Moșteanu, N. R. (2019). International Financial Markets face to face with Artificial Intelligence and Digital Era. Theoretical & Applied Economics, 26(3).
Munangi, E., & Bongani, A. (2020). An empirical analysis of the impact of credit risk on the financial performance of South African banks. Academy of Accounting and Financial Studies Journal, 24(3), 1-15.
Parvin, S. S., Hossain, B., Mohiuddin, M., & Cao, Q. (2020). Capital structure, financial performance, and sustainability of micro-finance institutions (MFIs) in Bangladesh. Sustainability, 12(15), 6222.
Phiri, P. (2022). The Impact and Causes of Loan Default on Lending Institution Profitability. Case Study Based on (Zanaco) Lending Institutions In Lusaka City. Cavendish University.
Turyasingura, B., Alex, S., Hirwa, H., & Mohammed, F. S. (2022). Wetland conservation and management practices in Rubanda District, South-Western Uganda.
Turyasingura, B., Ayiga, N., & Benzougagh, B. (2022). Re-thinking on land degradation and its impacts on livelihoods of the farmers in Kanungu District, Uganda.
Van Thiel, D., & Van Raaij, W. F. F. (2019). Artificial intelligence credit risk prediction: An empirical study of analytical artificial intelligence tools for credit risk prediction in a digital era. Journal of Risk Management in Financial Institutions, 12(3), 268-286.
Žunić, A., Kozarić, K., & Dželihodžić, E. Ž. (2021). Nonperforming loan determinants and impact of covid-19: Case of Bosnia and Herzegovina. Journal of Central Banking Theory and Practice, 10(3), 5-22.
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