Systemic Risk and Credit Risk in Bank Loan Portfolios

2017 ◽  
Author(s):  
Yu mname Shan
Keyword(s):  
Credit Risk ◽  
Systemic Risk ◽  
Bank Loan ◽  
Loan Portfolios

Determinants of commercial bank loan and advance disbursement: the case of private Ethiopian commercial banks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tekeste Birhanu ◽  
Sewunet Bosho Deressa ◽  
Hossein Azadi ◽  
Ants-Hannes Viira ◽  
Steven Van Passel ◽  
...  
Keyword(s):  
Credit Risk ◽  
Commercial Bank ◽  
Commercial Banks ◽  
Inflation Rate ◽  
Bank Loans ◽  
Bank Loan ◽  
Portfolio Investment ◽  
Negative Effects ◽  
Content Type ◽  
Lending Rate

PurposeThis paper aimed to investigate the determinants of loans and advances from commercial banks in the case of Ethiopian private commercial banks.Design/methodology/approachThe study randomly selected seven commercial banks to represent the population stratified on their asset, deposit and paid-up capital amounts. The study utilized an unbalanced panel data model as each bank started operation at a different period of time and considered the period 1995–2016 for secondary details.FindingsThe findings showed that the deposit size, credit risk, portfolio investment, average lending rate, real gross domestic product (GDP) and inflation rate had significant and optimistic effects on the lending and advancement of private commercial banks. On the contrary, liquidity ratio had significant and negative effects on private commercial bank loans and advances. Finally, the study forwarded a feasible recommendation for concerned organs to focus on deposit size, credit risk, portfolio investment, average lending rate, real GDP, inflation rate and liquidity ratio. The results of this study will help banking industry policymakers and planners understand how to minimize inflation and unemployment by improving development and sustainable economic growth.Originality/valueThe findings of this study can also affect the general attitudes of a society by increasing knowledge and improve the quality of life for the general public.

Intelligent System for Credit Risk Management in Financial Institutions

2019 ◽  
Vol 9 (2) ◽  
pp. 57-67
Author(s):  
Philip Sarfo-Manu ◽  
Gifty Siaw ◽  
Peter Appiahene
Keyword(s):  
Credit Risk ◽  
Financial Institutions ◽  
Intelligent System ◽  
Subjective Assessment ◽  
Bank Loan ◽  
Credit Risk Management ◽  
Tree Model ◽  
Assessment And Evaluation ◽  
Employment Sector ◽  
The Government

Credit crunch is an alarming challenge facing financial institutions in Ghana due to their inability to manage credit risk. Failure to manage credit risk may lead to customers defaulting and institutions becoming bankrupt, making it a major concern for financial institutions and the government. The assessment and evaluation of loan applications based on a loan officer's subjective assessment and human judgment is inefficient, inconsistent, non-uniform, and time consuming. Therefore, a knowledge discovery tool is required to help in decision making regarding the approval of loan application. The aim of this project is to develop an intelligent system based on a decision tree model to manage credit risk. Data was obtained from the bank loan histories. The data is comprised of four hundred observations with seven variables: client age, amount requested, dependents, collateral value, employment sector, employment type, and results. The results of study suggest that the proposed system can be used to predict client eligibility for loans with an accuracy rate of 70%.

Oil prices and bank credit risk in MENA countries after the 2008 financial crisis

2020 ◽  
Vol 13 (2) ◽  
pp. 219-247
Author(s):  
Rui Wang ◽  
Hang (Robin) Luo
Keyword(s):  
Credit Risk ◽  
Deposit Insurance ◽  
Oil Prices ◽  
Oil Price ◽  
Bank Loan ◽  
Bank Credit ◽  
Bank Risk ◽  
Content Type ◽  
Mena Countries ◽  
Macroprudential Policies

Purpose The purpose of this paper is to investigate the oil price–bank risk nexus by considering the heterogeneity of bank characters. Design/methodology/approach This paper empirically tests the effect of oil price movements on bank credit risk by using a sample of 279 banks in the Middle East and North Africa countries from 2011 to 2017. Findings Authors find robust evidence that the credit risk of bank loan portfolios is negatively associated with increased oil prices. The heterogeneity analysis indicates that the effect of asset quality improvement brought about by rising oil prices is more salient in conventional banks, and banks with small size, low liquidity and whose funding source relies on customers’ deposits. Practical implications The results favor the diversification of bank funding sources, the improvement of a country’s financial development, the adoption of explicit deposit insurance and macroprudential policies, such as countercyclical liquidity buffers, to weaken the adverse impact of oil prices declines. Originality/value The present paper enriches the literature of oil price–bank risk nexus by analyzing the heterogeneity of bank characters and advances our knowledge on the determined factors of bank riskiness and vulnerability.

A Credit Risk Model for Consumer Loan Portfolios

2008 ◽  
Vol 8 (3) ◽  
pp. 75-91 ◽  
Author(s):  
Fabio Wendling Muniz de Andrade ◽  
Abraham Laredo Sicsú
Keyword(s):  
Credit Risk ◽  
Risk Model ◽  
Loan Portfolios ◽  
Credit Risk Model
Sign in / Sign up

Export Citation Format

Share Document