Purpose: This study’s objective is to examine the credit risk management's effect on the financial performance of the Sudanese banking sector. Design/Methodology/Approach: Every bank’s financial reports for a 10-year period, from 2006 to 2015 been employed for the study. To estimate the model, the panel regression method was used. For performance indicators, ROE (Return on Equity) was used. Meanwhile, for credit risk management indicators, NPL (Non-Performing Loans) and CAR (Capital Adequacy Ratio) were utilized. Findings: The results showed that credit risk management significantly influences the profitability of Sudanese banks. The evidence shows that 57% of profitability in banks is affected by the change in capital adequacy ratio and non-performing loans. The study also shows there is a positive relationship between the banks’ financial performance and capital adequacy ratio, but the correlation is not significant. Furthermore, the correlation between the banks’ financial performance and non-performing loans is significant but negative. Practical Implications: The percentage of the impact of NPL (non-performing loans) and CAR (capital adequacy ratio) on the banks’ financial performance is 57%; which means the profitability of banks is impacted by the changes in NPL and CAR. Originality/Value: This study helps fill the aperture in the empirical evidence of how credit risk management impacts the bank’s financial performance process in Sudan.
Purpose: This study’s objective is to examine the credit risk management's effect on the financial performance of the Sudanese banking sector. Design/Methodology/Approach: Every bank’s financial reports for a 10-year period, from 2006 to 2015 been employed for the study. To estimate the model, the panel regression method was used. For performance indicators, ROE (Return on Equity) was used. Meanwhile, for credit risk management indicators, NPL (Non-Performing Loans) and CAR (Capital Adequacy Ratio) were utilized. Findings: The results showed that credit risk management significantly influences the profitability of Sudanese banks. The evidence shows that 57% of profitability in banks is affected by the change in capital adequacy ratio and non-performing loans. The study also shows there is a positive relationship between the banks’ financial performance and capital adequacy ratio, but the correlation is not significant. Furthermore, the correlation between the banks’ financial performance and non-performing loans is significant but negative. Practical Implications: The percentage of the impact of NPL (non-performing loans) and CAR (capital adequacy ratio) on the banks’ financial performance is 57%; which means the profitability of banks is impacted by the changes in NPL and CAR. Originality/Value: This study helps fill the aperture in the empirical evidence of how credit risk management impacts the bank’s financial performance process in Sudan.