Credit Management and Bad Debt in Nigeria Commercial Banks

2013 ◽  
Vol 16 (2) ◽  
pp. 64-72
Author(s):  
Osmond Chigozie ◽  
Author(s):  
Peter E. Ayunku ◽  
Akwarandu Uzochukwu

This study examines the impact of credit management on firm performance amidst bad debts, among Nigerian deposit banks. Five hypotheses were formulated following the dependent variables of Return on Asset and Tobin Q. The independent variables employed for this study include: Loan Loss Provision, Loan to Deposit Ratio, Equity to Asset Ratio, and Loan Write off. This study is based on ex-post facto research design and employed a panel data set collected from fourteen (14) commercial banks over six years ranging from 2014 to 2019 financial year. We analyzed the data set using descriptive statistics, correlation and Ordinary Least Square Regression Technique. The random effect models established that non-performing loan, loan loss provision and equity to asset impact significantly on banks’ performance in both Return on Asset and Tobin-Q models. This suggests that the sampled banks need to establish efficient arrangements to deal with credit risk management. In all, credit risk management indicators considered in this research are important variables in explaining the profitability of Nigerian commercial banks. However, based on the outcome from the empirical analysis, the study carefully recommends that investors and shareholders in these banks should be aware of the possible use of provisions for losses on non-performing loans by managers for smoothening of profits. The shareholders specifically should be ready to meet optimal agency costs to reduce the manager's information asymmetry by hiring competent internal and external auditors.


2015 ◽  
Vol 22 (1) ◽  
pp. 125-140
Author(s):  
Vinh Nguyen Thi Hong

The paper aims at exploring the relationship between bad debt and cost efficiency in Vietnamese commercial banks in the years 2007 – 2013. The research includes two stages: (i) Measuring the cost efficiency of banks by non-parameter Data Envelopment Analysis (DEA) method suggested by Coelli (2005); and (ii) Applying the Tobit model to identify two-way effects of bad debt and bank cost efficiency. The results show that the cost efficiency in Vietnamese commercial banks is 52.6% and there exists a direct relationship between bad debt and cost efficiency.


2015 ◽  
Vol 22 (02) ◽  
pp. 48-69
Author(s):  
Canh Nguyen Thi ◽  
Hien Nguyen Thi Diem

This paper employs CAMELS rating system to evaluate the performance and soundness of Vietnam’s commercial banks. Based on the analysis of data from financial statements of the banks in the years 2005/2008–2013, the research results show that the total assets and equity capital of Vietnam’s commercial banks have increased, but their efficiency is not yet high and tends to gradually decrease. The expense-to-revenue ratio was higher than 80% while the return on assets (ROA) ratio remained around 1% and had a tendency to sharply fall to 0.77% and 0.56% in 2012 and 2013 respectively. The return on equity (ROE) ratio, in addition, fell steadily in 2012 (7.42%) and 2013 (5.84%). The findings also indicate that profitability of state-owned commercial banks is higher than that of private joint-stock ones. Additionally, risk degree was high because of a high bad debt (around 4%) and low liquidity (around 90% of loan-to-deposit ratio). In addition to its analysis, the research offers sevaral recommendations that aim at improving banking efficiency and mitigating risk as for Vietnam’s commercial banks.


Author(s):  
Irene Muthoni Mburu ◽  
Lucy Wamugo Mwangi ◽  
Stephen M.A Muathe

Commercial banks in Kenya as per the World Bank report were recording higher non-performance in loans over the study period than the standard globally in spite of Kenya having the most stable and developed banking system in East and Central Africa region. Commercial banks non-performing loans for five years from 2015 to 2018 averaged eleven percent which was higher than the recommended rate of one percent. In Kenya, commercial banks’ non-performing loans remain higher than the recommended rate which could be due to inadequate credit management practices. The study therefore aimed at examining the effect of credit management practices on loan performance of commercial banks in Kenya. Specifically, the study sought to establish the effect of debt collection policy, client appraisal and lending policy on the loan performance of commercial banks in Kenya. The underpinning theory of the study was the 5Cs model for credit. The study used explanatory research design and the research philosophy adopted was positivism. The target population was 44 commercial banks in Kenya and a census approach was used. Both primary and secondary data were used. Primary data was collected through structured questionnaires and related to credit management practices while secondary data was obtained from review of existing bank loan records in relation to loan amount advanced and non-performing loans for a period of four years from 2015-2018. The data collected was analyzed using both descriptive and inferential statistics with the help of SPSS version 22. The study found out that debt collection policy and lending policy had a positive significant effect on loan performance of commercial banks in Kenya. However, client appraisal had no significant effect on loan performance of commercial banks in Kenya. Therefore, the study concluded that commercial banks’ loan performance could be largely attributed to the efficiency of the credit management practices put in place at the institutions. The study recommended that commercial banks to regularly evaluate and update practices relating to debt collection policy, client appraisal and lending policy that are capable of ensuring that credit risks are identified and recorded from departmental level to the institution at large. This is vital in light of technological innovations in the banking sector like mobile lending that may limit commercial banks’ ability to evaluate and manage credit using traditional methods.


Subject Efforts to cleanse banks’ loan portfolios. Significance More than half of Greek bank lending is classed as ‘non-performing exposures’ (NPEs), constraining lending capacity and so putting negative pressure on GDP growth. The government says it should have a whole package of measures in place by mid-August to deal with NPEs. There have been slippages before, but this time the creditors are leaning very heavily on Athens to stick to the timetable. Impacts Bad debts will limit commercial banks’ capacity to make new loans to key sectors of the economy. This will have an adverse effect on working capital for existing businesses and their trade. Lack of liquidity will also slow new investments and construction.


2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Hoang Thi Thanh Hang ◽  
◽  
Doan Thanh Ha ◽  
Bui Dan Thanh

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