bank specific factors
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Author(s):  
Laila Saif Hamed Al-Harthy ◽  
Revenio Jalagat, Jr. ◽  
Karima Sayari

This study examines the influence of macroeconomic factors, namely Inflation, Gross Domestic Production (G.D.P.) and changes in oil price and Bank-Specific Factors such as capital, asset size, liquidity risk, loan and deposit on bank profitability as measured by return on equity (R.O.E.) and net profit ratio (NPR) during the period of oil price decline, 2013-2017. The top 7 commercial banks were chosen as a sample of the study based on the availability of the data and the possible influence it can contribute to representing Oman's banking industry. The quantitative approach utilized appropriate statistical tools to analyze and interpret the secondary data gathered, including descriptive statistics, panel regression, Pearson correlation, and correlation matrix. Key findings of the study revealed no significant relationship between macroeconomic factors and the return on equity. There is also no significant relationship between macroeconomic factors and the net profit ratio. On the other hand, bank-specific factors significantly correlate return on equity and the net profit ratio. The study's findings contribute to the bank's management, economic policymakers, a research body, and academia in distinguishing the best indicator for a bank's profitability influenced by macroeconomic and bank-specific factors.


Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 181-193
Author(s):  
Nitya Garg

Banking sector is the backbone of any economy, so it is necessary to focus on its performance which is largely affected by its non-performing assets (NPAs). In the year 2018–2019, NPA of scheduled banks was Rs 355,076 Crore which is 3.7% of net advances. The purpose of this study is to identify the determinants based on analysis from previous literatures, and majorly macroeconomic and bank specific factors which are affecting NPAs using the relative weight analysis and to frame a model to predict future NPAs using multiple regression model using SPSS. The study also attempts to focus on actions and remedies that banks should make to control future NPAs. Findings of the study will act as a scaffolding for financial analysts and policymakers to prevent the conversion of its performing assets into NPAs and also help in proper management of banks and also in the recovery of economy.


Author(s):  
Bhabani Mishra

Deterioration of asset quality destabilizes the financial system by adversely affecting the efficiency, profitability, solvency and liquidity of the banking sector. Both macroeconomic and bank specific factors should be analysed properly to know their strength and direction of impact on the bad assets to have effective NPA resolution mechanism. Unemployment Rate Inflation, Economic Growth, Export rate, Exchange rate, Fiscal Deficit ratio are the macroeconomic indicators and Return on Assets, Credit Deposit ratio, Net Interest Margin are the bank specific factor that are taken from 2003-04 to 2019-20 to explain the variability in Non-performing assets of Public sector and Private sector banks. Fixed effect estimation with robust clustered standard error is used for the panel data regression. Paper found that except unemployment rate all other variables have significant impact on bad assets. Bank specific factor have strong negative impact on the dependent variables. Only exchange rate affects the non-performing loans positively but other macroeconomic variables are negatively associated. KEYWORDS: Non-Performing Assets, Macroeconomic indicators, bank specific factors, Fixed effect


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asima Siddique ◽  
Muhammad Asif Khan ◽  
Zeeshan Khan

PurposeAmong all of the world's continents, Asia is the most important continent and contributes 60% of world growth but facing the serving issue of high nonperforming loans (NPLs). Therefore, the current study aims to capture the effect of credit risk management and bank-specific factors on South Asian commercial banks' financial performance (FP). The credit risk measures used in this study were NPLs and capital adequacy ratio (CAR), while cost-efficiency ratio (CER), average lending rate (ALR) and liquidity ratio (LR) were used as bank-specific factors. On the other hand, return on equity (ROE) and return on the asset (ROA) were taken as a measure of FP.Design/methodology/approachSecondary data were collected from 19 commercial banks (10 commercial banks from Pakistan and 9 commercial banks from India) in the country for a period of 10 years from 2009 to 2018. The generalized method of moment (GMM) is used for the coefficient estimation to overcome the effects of some endogenous variables.FindingsThe results indicated that NPLs, CER and LR have significantly negatively related to FP (ROA and ROE), while CAR and ALR have significantly positively related to the FP of the Asian commercial banks.Practical implicationsThe current study result recommends that policymakers of Asian countries should create a strong financial environment by implementing that monetary policy that stimulates interest rates in this way that automatically helps to lower down the high ratio of NPLs (tied monitoring system). Liquidity position should be well maintained so that even in a high competition environment, the commercial is able to survive in that environment.Originality/valueThe present paper contributes to the prevailing literature that this is a comparison study between developed and developing countries of Asia that is a unique comparison because the study targets only one region and then on the basis of income, the results of this study are compared. Moreover, the contribution of the study is to include some accounting-based measures and market-based measures of the FP of commercial banks at a time.


2021 ◽  
Vol 17 (32) ◽  
pp. 221
Author(s):  
Stanley C. Duruibe ◽  
Nathaniel C. Nwezeaku ◽  
Aghalugbulam B.C. Akujuobi ◽  
Sampson Ikenna Ogoke ◽  
Chidinma Elizabeth Nwabeke

Credit risk, represented in this study by the ratio of non-performing loans to total loan (NPL), is considered as one of the critical factors that causes bank distress and failure. This study examines the macroeconomic and bankspecific determinants of credit risk in the Nigerian Banking sector from the period 1998Q1 to 2018Q4 using the bounds test approach to co-integration. Literature survey in this subject area using Google Scholar resources reveals that there seems to be a consensus of findings in terms of the negative relationship between credit risk and Gross Domestic Product (GDP) growth rate, while other macroeconomic and bank-specific factors tend to have a random pattern relationship with credit risk attributable to various countries’ economic peculiarities. This study shows that GDP growth rate, return on asset, return on equity, interest rate, unemployment rate, and real exchange rate have a negative relationship with NPL. On the other hand, inflation rate, loan deposit ratio, and ratio of bank capital to asset have positive relationship with NPL. The relationships between the three variables and NPL were found to be individually insignificant to explain credit risk trends in the long run. Moreover, the Wald short-run causality test reveals that the macroeconomic and bank specific indicators jointly influence credit risk in the Nigeria banking sector in the short run. This study, however, recommends that since the macroeconomic and bank specific factors were found to be individually insignificant to explain credit risk trend in the long run, consideration should be accorded to some psychological, political, and socioeconomic factors such as the borrower’s attitude, business climate, social dislocations and distortions, availability of good infrastructural facilities, and the direction of government policies. These factors can affect borrowers’ ability to honor their debt obligations and, thus, determine the level of credit risk in the Nigerian economy.


2021 ◽  
Vol 06 (08) ◽  
Author(s):  
Sheila Wamicwe ◽  

The objective of this study was to establish the effects of bank specific factors on stock returns of listed commercial banks in Kenya, with four specific objectives; to determine the effect of capital adequacy on stock returns of listed commercial banks in Kenya, to determine the effect of asset quality on stock returns of listed commercial banks in Kenya, to determine the effect of earnings ability on stock returns of listed commercial banks in Kenya and to determine the effect of liquidity on stock returns of listed commercial banks in Kenya. The Kenyan banking sector instability within the stock market has been of great concern as depicted by continuous fluctuations in the stock prices of listed banks. Studies undertaken in other stock markets displayed mixed findings and much concentration has been on the United States, Turkey and Indonesian stock markets. Hence, a study providing a Kenyan perspective on the link between banks’ internal environment and stock returns of listed banks was crucial. The study was based on market portfolio theory, efficiency structure hypothesis and the buffer capital theory. The research targeted all the 11 listed commercial banks at the Nairobi Securities Exchange. Quarterly data was collected for the period 2010-2019. A pooled panel regression model was used in the estimation of the significance of the impact of the variables. Findings of the research established that capital adequacy and earnings had a significant effect on stock returns. The study recommends that commercial banks should improve their capital base and expand their asset quality through better loan management.


Author(s):  
Matias Huhtilainen ◽  
Jani Saastamoinen ◽  
Niko Suhonen

AbstractThis study is the first to examine mergers and acquisitions among small, regional stakeholder banks that belong to the same group. Using data on Finnish unlisted cooperative and savings banks, we investigate the relationship between bank-specific factors and the likelihood of a bank being an acquirer or an acquisition target. We find that large banks tend to acquire small and inefficient banks. Additionally, we examine the loan growth and find a negative (positive), statistically significant association with the likelihood of a bank being an acquisition target (acquirer). Finally, we document an increase in the likelihood of a bank being an acquisition target subsequent to an increase in the share of net fees and commission income against total assets.


2021 ◽  
Vol 28 (1) ◽  
pp. 40-47
Author(s):  
Y. Yakubu ◽  
S.M. Egopija

Periodic checking and evaluation of financial performance of the banking sector is a way of sustaining the development of a nation’s economy. The key indicators of the banks’ financial performance are their return on assets (ROA) and return on equity (ROE). A bank’s financial performance is affected by some specific factors like capital adequacy ratio (CAR), credit risk (CRISK), management quality, liquidity ratio (LIQ.RAT.) and bank size. This work first compares average financial performance of some sampled commercial banks in Nigeria (UBA, GTB, ZENITH, FIRST, and ACCESS banks) based on the key indicators and the bank specific factors. It then models the effect of these factors on the overall financial performance of the sampled banks using panel data regression approach. The results showed that the GTB had the highest average ROA, ROE and CAR throughout the period under review while Zenith bank was the best in terms of credit risk, management quality and liquidity ratio. The fitted ROA model accounted for 83% of the total variability in the data and revealed that CAR, CRISK, and LIQ.RAT were significant at both 1% and 5% levels while the ROE model accounted for 69% and revealed that CRISK and LIQ.RAT were significant. Keywords: Financial Performance, Commercial Banks, Evaluation, Panel Data, Economy


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