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A well-functioning financial institution will sustain a countries economic development and play a great role in reduction of poverty. One of the major participants in the financial institution is the banking industry.  However, the mal-functioning of the banking system can be extremely costly to the real economy. As Bank is one of the participants and major key player in the financial institutions, it needs a continuous assessment by its supervisory and management. Mere ratio analyses are commonly used Performance measurement among the banking industry in Ethiopia. Nonetheless, these financial ratios are more of traditional as well as partial measurements. As such this study conducted using CAMEL framework set by bank for international settlement. The study takes secondary data which are gathered from audited annual reports of all banks. The result shows CAMEL framework is the best fit measurement for Ethiopian Banks and it give a comprehensive result which is very helpful for the governor to set a well determined policy and procedure.

The study attempts to ascertain the determinants of nonperforming loans in National Bank of Commerce. Data was collected from 152 respondents. Tables, percentages, mean and standard deviation were used to analyze data. Data collection methods adopted for the study were interview, questionnaire and documentary evidence. Interest rate, GDP, concentration of lending activities, bank’s loan supervision capacity and economic condition were investigated, and the results suggest that interest rate, GDP, bank’s loan supervision capacity and economic condition influence the level of NPLs. However, the results did not suggest that concentration of lending activities increase the level of NPLs.   The study suggests that banks should put in place a vibrant credit process that ensures proper customer selection and risk identification, robust credit analysis, proactive monitoring and clear recovery strategies for bad loans, formulate clear policy framework that addresses issues of ethical standards and check and balance credit process, organizational capacity enhancement of banks, deliberate effort to develop credit culture for managing loans ,and ensure prudent policies that govern bank loans. Since the results for this study were encouraging, the researcher encourages replicating the study for other lending institutions. In order to extend the literature on non-performing loans, the researcher suggested incorporating models of Golem effect, Social loafing, Inverted pyramid effect, Pollyanna effect and High default culture effect.  Also, basing on the merits of the study, the researcher suggests determining relationship between non-performing loans and loan size, collateral, credit culture, and credit management information system.