scholarly journals The Bank Specific Determinants of Loan Growth and Stability: Evidence from Indonesia

2021 ◽  
Vol 36 (2) ◽  
pp. 93-123
Author(s):  
Pananda Pasaribu ◽  
Bonnie Mindosa
Keyword(s):  
Economic Growth ◽  
Credit Risk ◽  
Research Methods ◽  
Commercial Banks ◽  
Comprehensive Analysis ◽  
Bank Loans ◽  
Bank Stability ◽  
Small Banks ◽  
Loan Growth

Introduction/Main Objectives: This study aims to examine the specific determinants of loan growth and the consequences of excessive loan growth on bank stability. Background Problems: Bank loans play an important role in economic growth, but previous studies indicate that excessive loans lead to bank instability. Novelty: This study undertakes a comprehensive analysis, as it will discuss both the loan determinants and excessive loans simultaneously. Research Methods: This study covers more than 89% of the total loans of commercial banks (listed and non-listed banks) between 2002 and 2018 and it employs GMM in order to obtain robust estimations. Finding/Results: The growth of customers’ deposits and gross NPL are the most important factors in explaining loan growth in Indonesia. Banks with excessive loans tend to have high levels of credit risk. Conclusion: Banks’ liquidity and credit risk have important roles in explaining banks’ loans. However, excessive loans could lead to bank instability, particularly for small banks.

Risk Behavior, Country Governance, and Bank Stability in Pakistan

2021 ◽  
pp. 185-203
Author(s):  
Hafiz Waqas Kamran ◽  
Abdelnaser Omran
Keyword(s):  
Economic Growth ◽  
Credit Risk ◽  
Risk Behavior ◽  
Commercial Banks ◽  
Financial Stability ◽  
Operational Risk ◽  
Bank Stability ◽  
Regression Methods ◽  
The Stability ◽  
Control Of Corruption

Keeping risk behavior and country governance in observation, this study has investigated the trends in financial stability for a sample of 22 commercial banks in Pakistan while controlling the effect of economic growth. Over the period of 2007 to 2016, the authors have applied OLS, FE, and RE regression methods to investigate which risk and governance factors are influencing the stability measures of the banks. It is found that financial stability in overall banks is affected by credit risk, operational risk, country risk, and financial crisis risk while control of corruption is also affecting ZROA in an adverse way.

scholarly journals Factors affecting credit risk in lending activities of joint-stock commercial banks in Vietnam

2021 ◽  
Vol 8 (2) ◽  
pp. 228-239
Author(s):  
Thanh Ngo ◽  
Vinh Le ◽  
Hai Le
Keyword(s):  
Economic Growth ◽  
Credit Risk ◽  
Commercial Banks ◽  
Nonlinear Effects ◽  
Financial Statements ◽  
Relative Importance ◽  
Bank Capital ◽  
Factors Affecting ◽  
Positive Effects ◽  
Loan Growth

This paper studies factors affecting credit risk in lending activities of joint-stock commercial banks in Vietnam. Data is collected from audited financial statements of 23 banks, and macroeconomic data from General Statistics Office of Vietnam in the period of 2009 – 2019. This paper uses GMM method which is carried out by using R programing language in Jupyter Notebook. The findings show that lagged credit risk, profitability and inflation have positive effects on credit risk, while bank capital, bank size, economic growth and loans to deposits ratio have negative ones. In addition, the findings also show that the nonlinear effects of loan growth on credit risk with U shape relationship, and this paper also calculates the relative importance of each variable.

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.

scholarly journals An Incentive for Risk Taking: The Case of Banks in ASEAN 6

2020 ◽  
Vol 11 (5) ◽  
pp. 129
Author(s):  
Thanh Phu Ngo
Keyword(s):  
Credit Risk ◽  
Technical Efficiency ◽  
Risk Taking ◽  
Commercial Banks ◽  
Small Banks ◽  
Bank Risks

Incorporating credit risk into technical efficiency to investigate possible effects of the risk on efficiency for a sample of 276 unique ASEAN commercial banks over the period 2000 -2015, we find a striking U-shaped effect of credit risk on both risk-free efficiency and risk-adjusted efficiency. The U-shaped relationship exists in both large banks and small banks. This finding is new and raises a concern for bank regulators in monitoring and controlling bank risks since banks have an incentive to become more efficient by following greater risk-taking strategies.

Effects of Specific Banking Factors on Credit Risk of Vietnam’s Commercial Banks

2015 ◽  
Vol 22 (02) ◽  
pp. 70-84
Author(s):  
Diep Nguyen Thi Ngoc ◽  
Kieu Nguyen Minh
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Financial Statements ◽  
Individual Investors ◽  
Negative Effects ◽  
Income Ratio ◽  
Research Findings ◽  
Using Data ◽  
Loan Growth

Applying OLS approach, the paper aims at identifying specific banking factors which impact on credit risk of Vietnam’s comercial banks. Using data collected from financial statements of 32 Vietnam’s commercial banks in the years 2010–2013 and the application of OLS, three idendified factors comprise loan growth, size, and cost-income-ratio. Based on the research findings, several recommendations are proposed for individual investors, further contributing to prompt awareness of the factors with negative effects on credit risk and proper control of lending boom impacts.

The Impact of Credit Risk on Performance: A Case of South African Commercial Banks

2020 ◽  
pp. 097215092096992
Author(s):  
Babatunde Lawrence ◽  
Mishelle Doorasamy ◽  
Prince Sarpong
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Gender Diversity ◽  
Capital Adequacy ◽  
Financial Reports ◽  
Return On Equity ◽  
Leverage Ratio ◽  
Small Banks ◽  
Board Gender Diversity ◽  
The Impact

The objective of the study was to comparatively assess the impact of credit risk on the performance of big and small banks in South Africa. Data from audited financial reports of 14 commercial banks were obtained and divided into two panel data sets and analysed using the R-Studio software version 3.5.1 to assess the impact of capital adequacy ratio (CAR), non-performing loan to gross loan (NPLGL), loan-to-deposit ratio (LTDR), leverage ratio (LR), board gender diversity (BGD), with bank size (total asset) and AGE as control variables, on performance, (return on asset [ROA] and return on equity [ROE]). The findings of the study revealed that non-performing loan (NPL), CAR, LR, LTDR and age of banks all have significant and greater impact on performance, as measured by ROA, of small banks when compared with big banks. Surprisingly, NPL was revealed to have a lesser impact on the ROE of small banks as compared to the ROE of big banks but showed no impact on the ROA of big banks during the period of 2008–2017.

scholarly journals Determinants of Local Commercial Banks' Performance in Malaysia

2018 ◽  
Vol 7 (3.21) ◽  
pp. 457
Author(s):  
Lee Wee Jeng ◽  
Suganthi Ramasamy ◽  
Devinaga Rasiah ◽  
Peter Yuen Yee Yen ◽  
Shalini Devi Pillay
Keyword(s):  
Economic Growth ◽  
Credit Risk ◽  
Commercial Banks ◽  
Financial Stability ◽  
Inflation Rate ◽  
Liquidity Risk ◽  
Asset Return ◽  
Return On Equity ◽  
Net Interest Margin ◽  
Using Data

Commercial banks play an important role in developing a country’s economy and maintaining its financial stability. Commercial banks will usually receive deposits from customers and lend out the money to people who need the money for their businesses or other legal purposes. Therefore, their performance is extremely important for a country’s financial stability and economic growth. This research examined the determinants of local commercial banks’ performance in Malaysia. Performance was measured using Return on Asset, Return on Equity and Net Interest Margin. Using data from eight local commercial banks in Malaysia from tea 2006 to year 2015, this study found that credit risk, liquidity risk, bank’s size and inflation rate significantly affect banks’ performance.  

scholarly journals DETERMINAN DANA PIHAK KETIGA DAN HUBUNGANNYA TERHADAP KREDIT BANK UMUM (STUDI KASUS PROVINSI JAMBI)

2018 ◽  
Vol 2 (1) ◽  
pp. 29
Author(s):  
Andri Devita
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Commercial Banks ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Bank Loans ◽  
Third Party ◽  
Credit Data ◽  
The Relationship

This study uses secondary data collected by research object in Jambi Province in the form of data of third party fund of commercial banks, interest rate and total credit data and economic growth sourced from Bank Indonesia as well as and Central Bureau of Statistics (BPS). Data were collected during the period 2004 to 2015. Objectives of the study 1). analyze the factors that influence the Third Party Fund (DPK) of Jambi Province. 2). analyzing the relationship of third party funds (DPK) to the amount of credit disbursed by commercial banks in Jambi Province. The analytical tool used is focusing on multiple linear regression analysis in time series and correlation person through with the help of software SPSS series 21.0. Based on the discussion of data analysis results in this study, can be drawn conclusion as follows: 1). bank interest rate variable negatively and insignificant to third party funds Jambi Province, while the number of banks and economic growth significantly influence third party funds Jambi Province during the period 2004-2015 with R-square 99.3%. 2). the relationship between third party funds and bank credit distribution is very strong with correlation value of 0.994 x 100% = 99.40%.Keywords: Bank Interest Rate, Third Party Funds, Economic Growth, and Bank Loans

scholarly journals Credit Risk Stress Testing of Commercial Banks in Tunisia

2018 ◽  
Vol 1 (1) ◽  
pp. 10
Author(s):  
Amel Ben Youssef
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Fixed Effects ◽  
Stress Testing ◽  
Stress Test ◽  
Negative Relationship ◽  
Bank Loans ◽  
Economic Downturn ◽  
Stress Tests ◽  
Fixed Effects Model

<p><em>Stress tests of credit risk is greatly affected by data constraints in Tunisian banking system. Aiming to improve the assessment of credit risk in such conditions, we propose a model to conduct a macro stress test of credit risk for a sample of ten Tunisian commercial banks based on scenario analysis.</em></p><p><em>The approach consists first in explaining the credit risk for each bank in terms of macroeconomic and bank-specific variables through a static fixed effects model, second in a stress-testing exercise using the Monte Carlo Simulation for generating credit risk losses distributions in case of different scenarios and for determining unexpected losses for each bank. </em></p><p><em>The panel analysis applied suggests a robust negative relationship between the credit risk of bank loans and real GDP growth, with a lag response of four periods. In addition, return on assets ratio and bank size show significant negative effect on credit quality, while the net loans to total asset ratio is positively associated with it. </em></p><p><em>The credit risk stress testing results indicate that an adverse scenario of economic downturn produces increase of the frequency of the higher credit loss comparatively to the lower ones for all banks of the sample and that the estimated unexpected losses that would take place in a stress situation can be covered by available capital of these banks.</em></p>

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