scholarly journals Credit Risk Management and the Performance of Financial Institutions in South Sudan

2020 ◽  
Vol 11 (11) ◽  
pp. 1919-1928
Author(s):  
Adire Simon Deng ◽  
Lucy Rono ◽  
Jane Sang
Paradigm ◽  
2005 ◽  
Vol 9 (2) ◽  
pp. 64-76
Author(s):  
Alok Pandey ◽  
Syamal K. Ghosh

The banking & financial sector in India is undergoing rapid transformation Banks & financial institutions have amassed huge NPA's (Non-Performing Assets). This paper presents a comparative analysis of NPA management practices in several Asian countries and seeks to find out whether Indian institutions should emulate these. It also looks at several innovations in NPA and credit risk management techniques at banks & financial institutions in the last decade. This paper also analyzes the efficacy of credit derivatives as a tool for credit risk management and insolvency management in banking and financial institutions. It critically analyzes the evolution, growth and usage of these instruments since their introduction in the banking sector in India.


2018 ◽  
Vol 4 (2) ◽  
pp. 257-293
Author(s):  
Beata Domańska-Szaruga ◽  
Dariusz Prokopowicz ◽  
Wioletta Wereda

Since the beginning of the nineties, globalization processes have also been progressing faster in Poland. One of the sectors of the Polish economy in which globalization is proceeding relatively quickly is the financial sector, especially commercial banking. This is related to the acquisition of Polish banks by foreign financial institutions, i.e. the process that most intensively occurred in the 90s of the last century. In addition, Poland's accession in 2004 to the structures of the European Union and the development of electronic banking, the development of technologies and Internet services are factors that have accelerated globalization processes in Poland in recent years. The high level of globalization also applies to the capital market, both from the side of the organization and the nature of transactions made at the Warsaw Stock Exchange. The result of this high level of globalization of financial markets in Poland was the rapid appearance of negative market and cyclical effects of the global financial crisis in the autumn of 2008. The source of this crisis was the acceptance of an excessively high level of credit risk in US investment banks. However, the negative economic consequences of this crisis also quickly appeared in Poland. In addition to the significant depreciation of market valuations of shares of companies listed on the War-saw Stock Exchange, significant macroeconomic effects have also appeared in the form of a decline in the economic growth of the Polish economy. The existing situation indicates the need to continue the improvement of banking prudential regulations and credit risk management instruments in financial institutions.


2018 ◽  
Vol 7 (4.11) ◽  
pp. 13
Author(s):  
J. X. Agnes Lai ◽  
J. H. Lam ◽  
W. S. Lam

Financial institutions provide financial services to their clients or retail customers where money is managed. Credit risk has been identified as one of the dominant risks that affect the performance of a company. A firm’s efficiency with different credit risk management practices is still unknown. This research aims to evaluate the credit risk management and efficiency of the financial institutions that are publicly listed in Bursa Malaysia from year 2013-2016 with the Data Envelopment Analysis (DEA) model. Based on the financial ratios, the DEA model allows the relative efficiency of a set of companies to be assessed by solving a linear programming model. The results show that ALLIANZ, APEX, BURSA, ECM, LPI and TAKAFUL are efficient in terms of their credit risk management. This study identifies the efficient and inefficient financial companies in Malaysia.  


2021 ◽  
Vol 10 (03) ◽  
pp. 306-316
Author(s):  
Maurice Olobo ◽  
Gerald Karyeija ◽  
Protazio Sande ◽  
Steven Khoch

2021 ◽  
Vol 70 (1) ◽  
pp. 42-46
Author(s):  
О.А. Митина

Credit risk management is the main task of banks and other credit institutions. Untimely partial or complete non-repayment of the loan body, as well as the interest part, within the period established by the agreement and in compliance with all the conditions provided for, is one of the main causes of losses of financial institutions. Data mining technologies contain effective tools for building scoring models – neural networks, decision trees, and logistic regression to predict the value of the target variable that allows you to assess the creditworthiness of the client. The purpose of this article is to show the relevance of the problem of data classification on the example of the financial and credit sphere (credit loan).


2012 ◽  
Vol 3 (8) ◽  
pp. 31-37
Author(s):  
Nayan J. Nayan J. ◽  
◽  
Dr. M. Kumaraswamy Dr. M. Kumaraswamy

2021 ◽  
Vol 14 (5) ◽  
pp. 211
Author(s):  
Iryna Yanenkova ◽  
Yuliia Nehoda ◽  
Svetlana Drobyazko ◽  
Andrii Zavhorodnii ◽  
Lyudmyla Berezovska

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.


Author(s):  
Abu Hanifa Md. Noman ◽  
Md. Amzad Hossain ◽  
Sajeda Pervin

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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