An empirical study on credit risk management: the case of nonbanking financial companies

2018 ◽  
Vol 14 (3) ◽  
pp. 49-66
Author(s):  
Sunita Mall
Keyword(s):  
Risk Management ◽  
Empirical Study ◽  
Credit Risk ◽  
Credit Risk Management

scholarly journals Islamic Versus Conventional Banks in Lebanon: An Empirical Study of Credit Risk Management

2018 ◽  
Vol 10 (8) ◽  
pp. 53
Author(s):  
Boutheina Hachem ◽  
Hiyam Sujud
Keyword(s):  
Risk Management ◽  
Empirical Study ◽  
Credit Risk ◽  
Risk Mitigation ◽  
Islamic Banks ◽  
Credit Risk Management ◽  
Credit Management ◽  
Management Processes ◽  
Conventional Banks ◽  
Conventional And Islamic Banks

The aim of this research is to compare conventional and Islamic banks in various aspects of credit risk management processes. The study used 200 questionnaires, collected from 21 traditional banks and 4 Islamic banks in Lebanon. The results found that differences in the various issues of credit management between Islamic and conventional banks. Islamic banks are more understanding, aware, and cautious in their approach than traditional banks. Islamic banks are more efficient in assessing and analyzing credit risk than conventional banks. Lastly, Islamic banks are more used to credit risk mitigation than traditional banks.

scholarly journals Credit Risk Management: An Empirical Study on BRAC Bank Ltd.

2014 ◽  
Vol 5 (1) ◽  
pp. 145
Author(s):  
Proshenjit Ghosh ◽  
Md. Ariful Islam ◽  
Md. Moeid Hasan
Keyword(s):  
Risk Management ◽  
Empirical Study ◽  
Credit Risk ◽  
Credit Risk Management

scholarly journals THE EFFECT OF CREDIT RISK MANAGEMENT ON PROFITABILITY: AN EMPIRICAL STUDY OF PRIVATE BANKS IN SYRIA

2018 ◽  
Vol 3 (2) ◽  
pp. 43-51
Author(s):  
Allam Yousuf ◽  
János Felföldi
Keyword(s):  
Risk Management ◽  
Empirical Study ◽  
Credit Risk ◽  
Capital Adequacy ◽  
Credit Risk Management ◽  
Financial Reports ◽  
Capital Adequacy Ratio ◽  
Private Banks ◽  
Quantitative Manner ◽  
The Relationship

The objective of this study is to investigate the effect of credit risk management on profitability in private banks in Syria. Two main criteria have been adopted for the management of credit risk in banks: capital adequacy ratio and non-performing loans. In order to achieve the objectives of the research and to test the hypotheses, an appropriate non-probability sample numbering 6 private banks was selected from those private banks in Syria for which financial reports and risk management reports were available sequentially from 2007 until 2011, because the researchers wanted to investigate the relationship between variables within normal conditions not in the light of instability in Syria. Credit risk was measured by the capital adequacy ratio (CAR), and non-performing loans (NPL), whereas profitability was measured by the ROE indicator by calculating the data and financial reports of sampled banks and showing them in a quantitative manner and identifying the relationship between the variables by using the SPSS program to study the correlation and build the regression equation. The study concluded that there is a statistically significant relationship between capital adequacy and profitability, the capital adequacy ratio affects profitability negatively. Non-performing loans do not effect profitability (ROE). In general, credit risk management accounts for 19% of the profitability of banks.

Retail Credit Risk Management in Indian Public Sector Banks

2012 ◽  
Vol 3 (8) ◽  
pp. 31-37
Author(s):  
Nayan J. Nayan J. ◽  
◽  
Dr. M. Kumaraswamy Dr. M. Kumaraswamy
Keyword(s):  
Risk Management ◽  
Public Sector ◽  
Credit Risk ◽  
Credit Risk Management ◽  
Public Sector Banks ◽  
Retail Credit

scholarly journals Modeling of Bank Credit Risk Management Using the Cost Risk Model

2021 ◽  
Vol 14 (5) ◽  
pp. 211
Author(s):  
Iryna Yanenkova ◽  
Yuliia Nehoda ◽  
Svetlana Drobyazko ◽  
Andrii Zavhorodnii ◽  
Lyudmyla Berezovska
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Credit Risk ◽  
Risk Model ◽  
Bank Credit ◽  
Credit Risk Management ◽  
Loan Default ◽  
Increased Risk ◽  
Credit Portfolio ◽  
Cost Risk

This article deals with the issue of managing bank credit risk using a cost risk model. Modeling of bank credit risk management was proposed based on neural-cell technologies, which expand the possibilities of modeling complex objects and processes and provide high reliability of credit risk determination. The purpose of the article is to improve and develop methodical support and practical recommendations for reducing the level of risk based on the value-at-risk (VaR) methodology and its subsequent combination with methods of fuzzy programming and symbiotic methodical support. The model makes it possible to create decision support subsystems for nonperforming loan management based on the neuro-fuzzy approach. For this paper, economic and mathematical tools (based on the VaR methodology) were used, which made it possible to analyze and forecast the dynamics of overdue payment; assess the quality of the credit portfolio of the bank; determine possible trends in bank development. A scientific and practical approach is taken to assess and forecast the degree of credit problematicity by qualitative criteria using a mathematical model based on a fuzzy technology, which can forecast the increased risk of loan default at an early stage in the process of monitoring the loan portfolio and model forecasting changes in the degree of credit problematicity on change of indicators. A methodology is proposed for the analysis and forecasting of indicators of troubled loan debt, which should be implemented as software and included in the decision support system during the process of monitoring the risk of the bank’s credit portfolio.

An Investigation of Credit Risk Management Strategies of Private Commercial Banks of Bangladesh

2014 ◽  
Vol 2 (2) ◽  
pp. 77-87
Author(s):  
Abu Hanifa Md. Noman ◽  
Md. Amzad Hossain ◽  
Sajeda Pervin
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Management Practices ◽  
Management Practice ◽  
Management Strategies ◽  
Third Party ◽  
Primary Data ◽  
Credit Risk Management ◽  
Risk Management Strategies

Objective - The study aims to investigate credit risk management practices and credit risk management strategies of the local private commercial banks in Bangladesh. Methodology -The investigation is conducted based on primary data collected from a set of both closed end and open end questionnaire from 23 out of 39 local private commercial banks in Bangladesh. Descriptive statistics has been used in processing the data and interpreting the results. Findings - The results reveal that credit risk management practice of the sample banks is sound which is attributed to the appropriate implementation of Basel II and credit risk management guidelines the country's central bank. The findings further show that use of Credit risk grading is most popular and effective criteria for measuring the borrowing capacity of the borrowers. In order to control credit risk and preventing losses from credit exposure banks give more focus on collateralization, accurate loan pricing and third party guarantee. Loan is monitored properly and credit reminder is given to the client if principal and interest remain outstanding for three months. The study further reveals that lack of experienced and trained credit officers, lack of genuine market information and Lack of awareness regarding non-genuine borrower are the most important problems of current credit risk management practices in Bangladesh. Novelty - To the best of the knowledge of the authors the study is the first that investigates credit risk management strategies of private commercial banks, especially on Bangladesh. Type of Paper - Empirical Keyword : Bangladesh; Commercial Bank; Credit risk; Credit risk management; Credit risk management strategies.

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