scholarly journals Credit Management and Issues of Bad Debts: An Empirical Study of Listed Deposit Banks in Nigeria

2020 ◽  
pp. 32-49
Author(s):  
Peter E. Ayunku ◽  
Akwarandu Uzochukwu
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Random Effect ◽  
Credit Risk Management ◽  
Loan Loss ◽  
Data Set ◽  
Credit Management ◽  
Loan Loss Provision ◽  
The Impact

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.

scholarly journals Impact of Credit Risk Management Systems on the Financial Performance of Commercial Banks in Uganda

2018 ◽  
Vol 66 (6) ◽  
pp. 1627-1635
Author(s):  
Isah Serwadda
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Financial Performance ◽  
Commercial Banks ◽  
Risk Measures ◽  
Secondary Data ◽  
Credit Risk Management ◽  
Loan Loss ◽  
Loan Loss Provisions ◽  
The Impact

The paper is set to analyse the impact of credit risk management on the financial performance of commercial banks in Uganda for a period of 2006–2015 using panel data for a sample of 20 commercial banks. The study employs return on assets as a dependent variable and non‑performing loans, growth in interest earnings and loan loss provisions to total loans as credit risk measures. Secondary data is sourced from the Bank scope database, African development bank and the central bank of Uganda. The study employs descriptive statistics, regressions and correlation analysis. Regression models are to estimate the magnitude of significance of credit risk management on the performance of commercial banks in Uganda. The study revealed that credit risk management impacts on the performance of Ugandan commercial banks. The results portrayed that banks’ performance was inversely influenced by non‑performing loans which may expose them to large magnitudes of illiquidity and financial crisis. Thus given such results, the researcher recommends that banks need to enhance their credit risk management techniques not only to earn more profits but also to maintain a qualitative asset portfolio and attention be given to non‑performing loans, loan loss provision to total loans and growth in interest earnings that were found to be significant. Banks need to design appropriate credit policies that must handle all necessary conditions before advancing credit to their customers and also develop strong credit administration committees and teams that must conduct appropriate and sound loan appraisal evaluations and which must also monitor the loans throughout the required processes right from extending a loan to a customer up to the completion of loan repayments so as to mitigate credit risks.

scholarly journals Does Credit Risk Management affect the Financial Performance of Commercial Banks in Kosovo?

2018 ◽  
Vol 7 (2) ◽  
pp. 49-57
Author(s):  
Rrustem Asllanaj
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Financial Performance ◽  
Multiple Regression ◽  
Commercial Banks ◽  
Multiple Regression Model ◽  
Capital Adequacy ◽  
Regression Equations ◽  
Credit Risk Management ◽  
The Impact

This study analyses the impact of credit risk management on financial performance of commercial banks in Kosovo, and comparing the relationship between the determinants of credit risk management and financial performance by using CAMEL indicators. Panel data of 85 observations from 2008 to 2012 of ten commercial banks was analysed using multiple regression model. Findings through multiple regression analysis are presented in forms of tables and regression equations. The study also elaborates whether capital adequacy, asset quality, management efficiency, earnings and liquidity have strong or weak relationship with financial performance of commercial banks. The study concludes that CAMEL model can be used as a system of assessment and rating of credit risk management by commercial banks in Kosovo.

scholarly journals The Relationship Between Credit Risk Management Practices And Profitability In Malaysian Commercial Bank`S

2019 ◽  
Vol 8 (5C) ◽  
pp. 53-59
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Management Practices ◽  
Secondary Data ◽  
Capital Adequacy ◽  
Credit Risk Management ◽  
Loan Loss ◽  
Commercial Activity ◽  
Loan Loss Provision ◽  
Loan Loss Provisions

This research scope looks into credit risk management and its effect on a specific group of banks with intensive commercial activity within Malaysia. Yearly reports from 8 different banks that rely on secondary data gathered from the span of 3 years (2015-2017), form the essence of this research. Return on assets (ROA) was primarily used in this research to measure profitability. Also, two credit risk measuring methods were used, loan loss provisions ratio (LLPR) and ratio of capital adequacy (CAR). From the results we deduced that commercial bank's profitability related positively to capital adequacy ratio and loan loss provision ratio. Therefore, the research calls upon the need of new management structure that optimally keep credit risk in check and boost banks profitability.

The relationship between credit risk management and non-performing assets of commercial banks in India

2019 ◽  
Vol 45 (3) ◽  
pp. 399-412 ◽  
Author(s):  
Sirus Sharifi ◽  
Arunima Haldar ◽  
S.V.D. Nageswara Rao
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Management Practices ◽  
Primary Data ◽  
Credit Risk Management ◽  
Content Type ◽  
Indian Economy ◽  
Indian Banks ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of credit risk components on the performance of credit risk management and the growth in non-performing assets (NPAs) of commercial banks in India. Design/methodology/approach The data are obtained from primary and secondary sources. The primary data are collected by administering questionnaire among risk managers of Indian banks. The secondary data on NPAs of Indian banks are from annual reports and Prowess database compiled by the Centre for Monitoring Indian Economy. Multiple linear regression is used to estimate the models for the study. Findings The results suggest that the identification of credit risk significantly affects the credit risk performance. The results are robust as credit risk identification is negatively related to annual growth in NPAs or loans. There is evidence in support of a priori expectation of better credit risk performance of private banks compared to that of government banks. Practical implications The study has implications for Indian banks suffering from a high level of losses due to bad loans. In addition, it will have implications for the implementation of new Basel Accord norms (Basel III) by the Reserve Bank of India. Social implications The high and rising level of NPAs will have adverse consequences for credit flow in the economy in the absence of appropriate intervention by government and central bank in the form of changes in institutional and regulatory infrastructure. The problems in banking and financial services sector will lead to lower industrial and aggregate economic growth, and lower (or negative) growth in employment. Originality/value There is little evidence on credit risk management practices of Indian banks, and its relationship with credit risk performance and NPA growth. The need for an effective risk management system to manage credit risk assumes importance and urgency in the context of high and rising NPAs of Indian banks, and the consequences for the Indian economy.

scholarly journals The Impact of Credit Risk Management on the Profitability of a Commercial Bank: The Case of BGFI Bank Congo

2020 ◽  
Vol 12 (3) ◽  
pp. 21
Author(s):  
Ossou Ndzila Fred Nelson
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Negative Impact ◽  
Capital Adequacy ◽  
Risk Indicators ◽  
Positive Contribution ◽  
Credit Risk Management ◽  
Loan Loss ◽  
Management Indicators ◽  
The Impact

This study examines the impact of credit risk management on the profitability of BGFI Bank Congo, by identifying credit risk indicators and profitability measurement ratios over the period of 2010-2019. The results indicate that profitability is somewhat affected by credit risk management as measured by its credit risk management indicators. The non-performing loan ratio (NPLR), the capital assets ratio (CAR), and the loan loss provision ratio (LLPR) show a negative impact on ROE. These three ratios contribute negatively, while the CAR makes a positive contribution to Return on assets (ROA) and the ratio of client loans and short-term financing (RCLSTF) on return on equity (ROE). Thus, credit risk management has a significant impact on profitability. The study also shows that other selected credit risk management indicators have a significant impact on the Bank's profitability, such as the loan provision ratio (LLPR) and the clean capital adequacy ratio.

scholarly journals The Impact of Credit Risk Management Indicators on Profitability Attributes: Evidence from the State-Owned Commercial Banks in Bangladesh

2021 ◽  
Vol 8 (3) ◽  
pp. 215-224
Author(s):  
Mst. Hasna Banu ◽  
Md. Sayaduzzaman ◽  
Subhash Chandra Sil
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Banking Sector ◽  
Management Practice ◽  
Management Policy ◽  
Annual Reports ◽  
Credit Risk Management ◽  
Management Indicators ◽  
The Impact

The focal attempt of this research is to identify the consequence of credit risk management indicators on profitableness attributes of state-owned commercial banks functioning in Bangladesh. To attain the objectives of this research study researcher has analyzed four sample banks’ audited annual reports covering the period 2012 to 2016. The study has employed the ANOVA technique, multiple regression model, and correlation matrix to reach the concluding remark as per study objectives. The findings revealed that there is significant and insignificant variation as well as relationship in the different indicators of credit risk management but there is insignificant variation in the different attributes of profitability in the midst of the sample banks within the study period. Furthermore, there is the insignificant impact of the different indicators of credit risk management namely loan and advance, classified loan, unclassified loan, leverage ratio, bad debt, default ratio, cost per loan asset, and cost to income ratio on profitability attributes such as return on assets, return on equity along with net profit percentage of the sample banks over the study period. Hence, the study has recommended that the management of the banking sector should emphasize creating a smart credit management policy as well as lending guidelines to formulate the suitable credit risk management practice to meet the demand of loans applicants properly.

Prediction of Return on Equity Using Capital Adequacy Ratio in Commercial Banks: An ANOVA Table Analysis

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Meenakshi Chaturvedi
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
News Media ◽  
Commercial Banks ◽  
Banking Sector ◽  
Secondary Data ◽  
Capital Adequacy ◽  
Credit Risk Management ◽  
Return On Equity ◽  
The Impact

The purpose of this study is to predict the impact of Credit Risk Management on Profitability of Commercial Banks in India. Data is obtained from different news media, publication and sample banks to describe present scenario of banking sector in India. To analyze the profitability and credit risk management of banks after implementing the Basel II standard, we collected secondary data of ten years (2003 to 2013) from the annual report of banks. Few bar-diagrams have been drawn to compare the performance among six banks. While, to fulfill the research objective, ROE, and CAR is calculated to evaluate the Credit Risk of the Banks. Using these two ratios, researcher constructed the regression model statistics.

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