Credit Risk Management and Control in a Maritime Supply Chain Trade Network

2020 ◽  
Vol 106 (sp1) ◽  
pp. 109
Author(s):  
Jiapeng Guo
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Credit Risk ◽  
Credit Risk Management ◽  
Trade Network ◽  
And Control

scholarly journals ANALISIS MANAJEMEN RISIKO KREDIT SEBGAI ALAT UNTUK MEMINIMALISIR RISKO KREDIT PADA BANK NAGARI CABANG PEMBANTU SIMPANG HARU

2020 ◽  
Author(s):  
jhon fernos ◽  
Oriza Satifa
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Credit Risk ◽  
Risk Measurement ◽  
Monitoring And Control ◽  
Credit Risk Management ◽  
Measurement Monitoring ◽  
Special Concern ◽  
Credit Risk Measurement ◽  
And Control

This study aims to determine the application of credit risk management and criteria as well as efforts to minimize credit risk in Bank Nagari Simpang Haru Sub-Branch. In implementing credit risk management at Bank Nagari Simpang Haru Sub-Branch, it includes the identification, measurement, monitoring and control of credit risk. Credit risk is the risk of non-performing loans where the debtor must be under special surveillance while the credit measurement must be in accordance with the NPL, Non-perfoming loan (NPL) is very important for credit risk measurement at Bank Nagari Simpang Haru Sub-Branch, because it must be in accordance with the applicable provisions of the Bank Indonesia (BI), by using a non perfoming loan, it will be easy for the Bank to find out the criteria in analyzing credit risk where the Indonesian bank sets a maximum Npl of 5%. Credit collectability is the basis in calculating the level of NPL. Credit Risk Issues that appear at Bank Nagari Simpang Haru Sub-Branch, namely Problem Loans. In this case there are credit risk factors including internal banks, debtors and others. Thus the debtor becomes a factor that often arises and is of special concern.

scholarly journals Effect of Credit Risk Management on Financial Performance of Nigerian Listed Deposit Money Banks

2019 ◽  
Vol 5 (6) ◽  
pp. 53 ◽  
Author(s):  
KAJOLA Sunday Olugboyega ◽  
ADEDEJI Samuel Babatunji ◽  
OLABISI Jayeola ◽  
BABATOLU Ayorinde Tobi
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Financial Performance ◽  
Capital Adequacy ◽  
Financial Health ◽  
Credit Risk Management ◽  
Return On Equity ◽  
Risk Parameters ◽  
And Control ◽  
Risk Measurements

<p>Deposit money banks are concerned with the provision of credit facilities in form of loans and advances to customers. These loans and advances are expected to be repaid by customers in line with the agreement reached with their bankers. Customers’ default in the repayment of loans and advances at the agreed period may lead to bad and doubtful debts and this can affect the financial health, profitability and going concern status of the bank. This study empirically explored the effect of credit risk management on the financial performance of ten listed deposit money banks in Nigeria for the period, 2005-2016. Credit risk management, the independent variable, was surrogated by three parameters- Non-performing Loan to total Loan Ratio (NPLLR); Non-performing Loan to total Deposit Ratio (NPLDR) and Capital Adequacy Ratio (CAR). Return on asset (ROA) and Return on equity (ROE) was used as proxies for financial performance. Using the Random effects generalised least squares (GLS) regression as data estimation technique, the study revealed that all the three credit risk parameters have a significant relationship with ROA and ROE (p&lt; 0.05).Based on the findings, the study recommended that the management of deposit money banks should develop rigorous and robust credit policies that will enable banks to effectively assess the creditworthiness of their customers. The regulatory agencies should also come up with modern credit risk measurements, identification and control. Prompt and necessary action should also be taken against the management of any bank that flouts their credit risk guidelines in order to avoid unpleasant distress in the financial system.     </p>

scholarly journals The Impact of OJK Regulation No. 48/POJK.03/2020 on the Quality of Credit and Risk Management of Banking Credit

2021 ◽  
Author(s):  
Christanto Arief Wahyudi ◽  
Evi Aryati Arbay
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Secondary Data ◽  
Credit Risk Management ◽  
The Government ◽  
The Stability ◽  
And Control ◽  
The Impact ◽  
Banking Credit

The COVID-19 pandemic, which is spreading rapidly throughout the world, has seriously harmed many countries, including Indonesia. Many things have been detrimental due to COVID-19, one of which is the economic aspect. This pandemic made it difficult for many debtors to fulfil their credit obligations that led the government to issue a countercyclical policy to provide a stimulus to the national economy. This study aims to determine the impact of OJK Regulation No.48 of 2020 on credit quality and control of banking credit risk in Indonesia. The research method used is descriptive qualitative with a literature approach using secondary data. This OJK regulation regulates economic stimulus through credit restructuring and regulates the implementation of credit risk management in banks. The existence of this regulation can maintain the stability of banking performance by keeping the Non-Performing Loan (NPL) number below 5% and providing a reference for banks in risk management with a model that is relevant to economic conditions during the COVID-19 pandemic.

scholarly journals The Impact of OJK Regulation No. 48/POJK.03/2020 the Quality of Credit and Risk Management of Banking Credit

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Christanto Arief Wahyudi ◽  
◽  
Evi Aryati Arbay ◽  
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Secondary Data ◽  
Credit Risk Management ◽  
The Government ◽  
The Stability ◽  
And Control ◽  
The Impact ◽  
Banking Credit

The COVID-19 pandemic, which is spreading rapidly throughout the world, has seriously harmed many countries, including Indonesia. Many things have been detrimental due to COVID-19, one of which is the economic aspect. This pandemic made it difficult for many debtors to fulfil their credit obligations that led the government to issue a countercyclical policy to provide a stimulus to the national economy. This study aims to determine the impact of OJK Regulation No.48 of 2020 on credit quality and control of banking credit risk in Indonesia. The research method used is descriptive qualitative with a literature approach using secondary data. This OJK regulation regulates economic stimulus through credit restructuring and regulates the implementation of credit risk management in banks. The existence of this regulation can maintain the stability of banking performance by keeping the Non-Performing Loan (NPL) number below 5% and providing a reference for banks in risk management with a model that is relevant to economic conditions during the COVID-19 pandemic.

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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