scholarly journals CREDIT RISKS AS THE OBJECT OF CONTROL AND REGULATION BY THE NATIONAL BANK OF UKRAINE

2017 ◽  
pp. 150-155
Author(s):  
Yaryna Petrushko
Keyword(s):  
Risk Management ◽  
Financial Analysis ◽  
Analysis Procedure ◽  
Credit Risk Management ◽  
High Quality ◽  
Credit Risks ◽  
Management Problems ◽  
National Bank ◽  
Object Of Control

The article aims to define the main methods that can be used by the National Bank of Ukraine for controlling and regulating of the credit operation by the banks. One of the main targets of controlling and regulating of such type of operations by the National Bank is the protection of investors’ rights and interests, since credit activities are the allocation of the investors’ money. By the analysing the laws and regulations, the main requirements and ratios, which are stipulated by the National Bank and are to be adhered by all banks, have been unified. Both adhering of the required rations and complying with financial analysis procedure are crucial for bank’s stability and formation of the high quality of credit loans portfolio. The attention, which the National Bank pays to the risk management problems, especially credit risk management problems, testifies the actuality of this topic. Considering the number of banks, which are under liquidation procedure because of the bad quality of credit’s loans portfolio and lack of the loss loan reserves, credit transactions and all the risks which are associated should be controlled and regulated by the National Bank of Ukraine.

The concept of motivation for effective credit risk management

2020 ◽  
Vol 26 (11) ◽  
pp. 2567-2593
Author(s):  
M.V. Pomazanov
Keyword(s):  
Risk Management ◽  
Economic Modeling ◽  
Type I ◽  
Credit Risk Management ◽  
Curve Modeling ◽  
Business Functions ◽  
The Common ◽  
Lending Decisions ◽  
The One

Subject. The study addresses the improvement of risk management efficiency and the quality of lending decisions made by banks. Objectives. The aim is to present the bank management with a fair algorithm for risk management motivation on the one hand, and the credit management (business) on the other hand. Within the framework of the common goal to maximize risk-adjusted income from loans, this algorithm will provide guidelines for ‘risk management’ and ‘business’ functions on how to improve individual and overall efficiency. Methods. The study employs the discriminant analysis, type I and II errors, Lorentz curve modeling, statistical analysis, economic modeling. Results. The paper offers a mechanism for assessing the quality of risk management decisions as opposed to (or in support of) decisions of the lending business when approving transactions. The mechanism rests on the approach of stating type I and II errors and the corresponding classical metric of the Gini coefficient. On the ‘business’ side, the mechanism monitors the improvement or deterioration of the indicator of changes in losses in comparison with the market average. Conclusions. The study substantiates the stimulating ‘rules of the game’ between the ‘business’ and ‘risk management’ to improve the efficiency of the entire business, to optimize interactions within the framework of internal competition. It presents mathematical tools to calculate corresponding indicators of the efficiency of internally competing entities.

Credit risk management of Ghanaian listed banks

2016 ◽  
Vol 58 (2) ◽  
pp. 162-178 ◽  
Author(s):  
Michelle Ayog-Nying Apanga ◽  
Kingsley Opoku Appiah ◽  
Joseph Arthur
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Management Practices ◽  
Banking Sector ◽  
Banking Industry ◽  
Credit Risk Management ◽  
Structured Interviews ◽  
Content Type ◽  
Credit Risks ◽  
Commercial Loans

Purpose – The study aims to assess credit risk management practices within financial institutions in Ghana. Specifically, the study compares credit risk management practices of listed banks in Ghana with Basel II (1999). Design/methodology/approach – The analysis is based on data gathered from varied sources, namely, use of questionnaires, analysis of internal credit policies and procedure manuals and semi-structured interviews and discussions with credit risk managers of the selected banks in May 2007 and October 2014. Findings – Overall, the credit risk management practices within listed banks in Ghana are in line with sound practices. The only dissimilarity, however, is the role of the board of directors in defining acceptable types of loans and maximum maturities for the various types of loans. The listed banks in Ghana are also exposed to credit risks associated with granting both corporate and small business commercial loans and the use of collaterals to mitigate their credit risk exposures. Practical implications – Banks in Ghana should consider developing the skills of all their personnel and appropriately motivating those involved in the credit risk management processes to ensure that they carry out this process efficiently. Originality/value – Research into credit risk management in the banking industry from the Ghanaian perspective remains scant. This study is, therefore, timely, and its findings are invaluable for the efficient management of credit risk in the banking industry. This study provides policy recommendations which will enhance shareholder value and, in this way, contribute to greater stability in the banking sector in developing countries, in particular.

ANALYSIS OF THE MECHANISM FOR OVERCOMING CREDIT RISKS AND WAYS OF IMPROVEMENT ON THE EXAMPLE OF SBERBANK PJSC

2020 ◽  
Vol 4 (11) ◽  
pp. 88-93
Author(s):  
K. M. KHANAPIEVA ◽  
◽  
A. N. SHAMSUDINOVA ◽  
M. G. ALIMIRZOEV ◽  
◽  
...  
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Credit Risk Management ◽  
Management Mechanism ◽  
Credit Risks ◽  
Efficiency And Effectiveness

The article assesses the efficiency and effectiveness of the credit risk management mechanism that the bank is guided by when issuing loans to both the population and enterprises. Problems associated with this mechanism for overcoming credit risk are substantiated, and recommendations are given to overcome these problems.

scholarly journals Construction and Application Research of Isomap-RVM Credit Assessment Model

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Guangrong Tong ◽  
Siwei Li
Keyword(s):  
Dimensionality Reduction ◽  
Financial Analysis ◽  
Listed Companies ◽  
Relevance Vector Machine ◽  
Assessment Model ◽  
Support Vector ◽  
Credit Risk Management ◽  
Characteristic Index ◽  
Credit Risks ◽  
Isometric Feature Mapping

Credit assessment is the basis and premise of credit risk management systems. Accurate and scientific credit assessment is of great significance to the operational decisions of shareholders, corporate creditors, and management. Building a good and reliable credit assessment model is key to credit assessment. Traditional credit assessment models are constructed using the support vector machine (SVM) combined with certain traditional dimensionality reduction algorithms. When constructing such a model, the dimensionality reduction algorithms are first applied to reduce the dimensions of the samples, so as to prevent the correlation of the samples’ characteristic index from being too high. Then, machine learning of the samples will be conducted using the SVM, in order to carry out classification assessment. To further improve the accuracy of credit assessment methods, this paper has introduced more cutting-edge algorithms, applied isometric feature mapping (Isomap) for dimensionality reduction, and used the relevance vector machine (RVM) for credit classification. It has constructed an Isomap-RVM model and used it to conduct financial analysis of China's listed companies. The empirical analysis shows that the credit assessment accuracy of the Isomap-RVM model is significantly higher than that of the Isomap-SVM model and slightly higher than that of the PCA-RVM model. It can correctly identify the credit risks of listed companies.

scholarly journals The Risk Management of Commercial Banks——Credit-Risk Assessment of Enterprises

2016 ◽  
Vol 8 (9) ◽  
pp. 69
Author(s):  
Na Luo ◽  
Jiayi Yang ◽  
Yuanfeng Zhu ◽  
Yu Zhang
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Assessment System ◽  
Assessment Model ◽  
Good Prediction ◽  
Credit Risk Management ◽  
Credit Risk Assessment ◽  
Credit Risks

With the diversified developments of the financial market, commercial banks are confronted with various risks, among which the credit risk is the core, and thus the assessment of enterprises’ credit risks is especially important in the credit process of the commercial banks. Based on the relevant researches about commercial banks’ credit risk management, the paper carries out a deep analysis on the factors that may affect the credit risk assessment and then establishes a relatively comprehensive credit risk assessment system. In this paper, we apply our risk assessment model, which is established on the basis of GRNN neural network model, to make an empirical analysis with the selected sample data. And the results suggest that the hit rates of identifying high quality enterprises and low quality enterprises are 92.16 percent and 93.75 percent, respectively, indicating that the model has realized a good prediction.

scholarly journals Internal Financial Risk Management In Microfinance Companies: A Case Study Of Akuapem Rural Bank, Ghana

2018 ◽  
Vol 7 (5) ◽  
pp. 64
Author(s):  
Rebecca Davis ◽  
Elvis K. Donkoh ◽  
Bernard Mawah ◽  
Blessed Amonoo
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Financial Analysis ◽  
Practical Knowledge ◽  
Financial Statements ◽  
Financial Risks ◽  
Microfinance Institutions ◽  
Operational Risks ◽  
Credit Risks

The operations of Microfinance Institutions (MFIs) in Ghana have recently come under serious public scrutiny. This position was fairly caused by Bank of Ghana’s (BOG’s) announcement regarding 70 microfinance companies whose provisional licenses were revoked BOG (2016). This led to the closure of DKM Diamond Microfinance and some other microfinance companies in the country. This worsening circumstance surrounding the microfinance industry calls for the need to provide practical knowledge on the use of financial analysis tools to manage internal financial risks of the microfinance industry. Data from Akuapem Rural Bank (AKRB) financial statements for the period of 2008 to 2015 (refer to appendix) was analysed using regression analysis, descriptive statistics, trend analysis and ratios. It was observed that the profitability of AKRB is greatly influenced by credit risks, bank size, interest income growth and debt-ratio. The study also revealed that AKRB had comprehensive and adequate risk management structures in place in managing its credit and other operational risks.

scholarly journals The Role of the Credit Risks Management in Commercial Banks

2020 ◽  
Vol 6 (6) ◽  
pp. 225-229
Author(s):  
M. Kenjaev
Keyword(s):  
Risk Management ◽  
Monetary Policy ◽  
Credit Risk ◽  
Commercial Banks ◽  
Best Practice ◽  
Credit Risk Management ◽  
Credit Risks ◽  
The Republic

The article discusses issues related to improving credit risk management in the activities of commercial banks of the Republic of Uzbekistan, as well as developed scientific proposals aimed at solving these problems. Studied further ways to improve monetary policy using the tools used in international best practice in the strategy of the President of the Republic of Uzbekistan.

scholarly journals The Use of Credit Derivatives and Banks′ Risk Taking Behaviours

2017 ◽  
Vol 8 (1) ◽  
pp. 31-40
Author(s):  
Phan The Cong ◽  
Le Thi Ngoc Phuong
Keyword(s):  
Risk Management ◽  
Financial Institutions ◽  
Risk Taking ◽  
Commercial Banks ◽  
Credit Derivatives ◽  
Credit Crisis ◽  
Credit Risk Management ◽  
Financial Innovations ◽  
Credit Risks ◽  
Common Notion

Abstract Credit derivatives are financial innovations that allow transferring credit risks separately from ownership. There is a common notion that credit derivatives are useful instruments in banks′ credit risk management. However, the current credit crisis has raised a doubt towards the perception that credit derivatives make banks sounder. This paper presents empirical evidence about the effects of the use credit derivatives on banks′ risk-taking behaviours. The study uses data of 179 large U.S. commercial banks that report to the Federal Financial Institutions Examination Council, with total assets at the end of 2009 equal or greater than 3 billion dollars. The methodology used is quantitative analysis methods - the “pooled” OLS regression. In consistent with existing literature, the results strengthen the statement that the use of credit derivatives does increase banks’ risk-taking. Particularly, the volume of net credit derivatives bought is the dominant contributor.

scholarly journals Feasibility Study of Credit Risk Rating Systems in Banks

2017 ◽  
Vol 6 (12) ◽  
pp. 294-306
Author(s):  
Lakshmi P
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Credit Risk Management ◽  
Credit Policy ◽  
Rating Systems ◽  
Public And Private ◽  
Risk Rating ◽  
Private Banks ◽  
Rating Model

Credit risk rating is an important tool used by banks to quantify risk associated with lending. Accuracy of the rating mechanism is an important aspect as it affects the nature and quality of credit decisions made. A wrong rating may affect not only the sustainability and goodwill of the banks; it can even affect the overall economic harmony and balance, as banks are barometers of the economy. Recent global economic crisis of 2008, itself showcases a need for very strict and accurate credit policy. Under this back drop, present study aims to analyze the credit risk rating mechanism of banks. A comparative study of the different risk rating models adopted by public and private banks in Thiruvananthapuram district (Kerala, India) is made and study attempts to determine the lacuna in the present risk rating model, if any. The study aims to provide suggestions to improve the credit risk management of banks.

scholarly journals Loan Loss Provision as One of the Ways to Minimize Credit Risk

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Larisa Tatarinova
Keyword(s):  
Risk Management ◽  
Central Bank ◽  
Credit Risk ◽  
Russian Federation ◽  
Management Practices ◽  
Risk Control ◽  
Credit Risk Management ◽  
Loan Loss ◽  
Credit Risks ◽  
The Russian Federation

The article examines credit risk of a commercial bank, ways of minimizing it, focusing on credit risk control for loan products in banks. It is noted that the Central Bank of the Russian Federation regulates managing credit risks for credit organization and forming a reserve for these risks. The Central Bank of the Russian Federation had four stages in regulating the creation by credit organizations of a reserve for risk control for loan products since 1990, while credit organizations have not been required to establish such reserves even today. At each of the steps identified, credit risk management practices are described and evaluated. The authors noted that there had been a shift from administrative methods of credit risk management to market-based methods that allowed a credit organization to develop its own methods of assessing a borrowers financial situation. As part of the further development of the practice of reserve for risk control for loan products, dynamic reserve methods are identified to ensure the reliability of credit institutions in an unstable economy.

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