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1

Bhati, Shyam, Anura De Zoysa, and Wisuttorn Jitaree. "Factors affecting the liquidity of commercial banks in India: a longitudinal analysis." Banks and Bank Systems 14, no. 4 (2019): 78–88. http://dx.doi.org/10.21511/bbs.14(4).2019.08.

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This paper examines the long-term effect of various regulatory, bank-specific and macroeconomic factors on the determination of liquidity in Indian banks. For this purpose, the study uses a random effect panel data regression model and tests it with data on Indian banks for 21 years, covering the period from 1996 to 2016. The model considers the effect of regulatory factors, cash reserve ratio, and statutory liquidity, and incorporates four different liquidity ratios specific to the Indian banking scenario. The results of the analysis show contrasting relationships between the independent vari
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TRƯƠNG QUANG, THÔNG. "Factors Affecting Liquidity Risk in the System of Vietnamese Commercial Banks." Journal of Asian Business and Economic Studies 219 (January 1, 2014): 34–48. http://dx.doi.org/10.24311/jabes/2014.219.1.08.

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The research tries to identify causes of liquidity risk for the system of Vietnamese commercial banks. Data for the research are collected from annual reports in the years 2002-2011 by 27 Vietnamese commercial banks. The liquidity risk examined in the research is financing gap; and independent variables, or factors affecting the liquidity risk, are divided into two groups: internal and external ones. The estimated results of the models show that the liquidity risk among banks depends not only on internal factors, such as total asset size, liquidity reserve, inter-bank loan, and ratio of equity
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3

Thanh Ha, Doan, Hoang Thi Thanh Hang, Tran Trong Huy, and Nguyen Thi Kim Phung. "FACTORS AFFECTING LIQUIDITY OF COMMERCIAL BANKS IN VIETNAM." Proceedings on Engineering Sciences 4, no. 2 (2022): 115–24. http://dx.doi.org/10.24874/pes04.02.002.

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Sthembiso Msomi, Thabiso. "Factors affecting non-performing loans in commercial banks of selected West African countries." Banks and Bank Systems 17, no. 1 (2022): 1–12. http://dx.doi.org/10.21511/bbs.17(1).2022.01.

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This paper examines the macro-economic and bank-specific factors affecting non-performing loans in commercial banks. Using 47 listed commercial banks from six countries, namely 19 banks from Nigeria, 14 banks from Benin, 3 banks from Burkina Faso, 3 banks from Gambia, 3 banks from Guinea, and 5 banks from Liberia for the period 2008 to 2019, fixed and random effect model was used. The Hausman test favored the selection of fixed effect model, and it was found from the estimation that the liquidity ratio, capital adequacy ratio and inflation rate significantly affect non-performing loans. As a r
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Shibru, W/Michael, Hamdu Kedir, and Yonas Mekonnen. "Factors Affecting the Financing Policy of Commercial Banks in Ethiopia." International Journal of Research in Business and Social Science (2147-4478) 4, no. 2 (2015): 44–53. http://dx.doi.org/10.20525/ijrbs.v4i2.25.

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Determining the optimal capital structure is one of the most fundamental policy decisions faced by financial managers. Since optimal debt ratio influences firm’s value, different firms determine capital structures at different levels to maximize the value of their firms. Thus, this study examines the relationship between leverage and firm specific (profitability, tangibility, growth, risk, size and liquidity) determinants of capital structure decision, and the theories of capital structure that can explain the capital structure of banks in Ethiopia. In order to investigate these issues a mixed
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Yustina, Wiwin, Tulus Suryanto, Heni Noviarita, and Erike Anggraeni. "Analysis of Factors Affecting Liquidity of Islamic Banking Listed on the Indonesia Stock Exchange." Al-Kharaj : Jurnal Ekonomi, Keuangan & Bisnis Syariah 4, no. 1 (2021): 47–61. http://dx.doi.org/10.47467/alkharaj.v4i1.414.

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The purpose of this study is to investigate the effect of Non-Performing Financing, Third Party Funds, Financial To Funding Ratio, Macroprudential Intermediation Ratio and Macroprudential Liquidity Buffer on the liquidity of Islamic Banking listed on the Indonesia Stock Exchange List in the 3rd and 4th quarters of 2018 to the 1st and 2nd quarters of 2018. 2019. The research design used is a quantitative approach. The data analyzed is secondary data in the form of quarterly banking financial statements listed on the Indonesia Stock Exchange List for the 3rd and 4th quarters of 2018 to 1st and 2
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Ostadi, Hossin, and Nastran Monsef. "Assessing the Impact of Bank Concentration and Liquidity of Refah Bank Branches on Profitability during the Period1383-190." International Journal of Human Resource Studies 4, no. 1 (2014): 248. http://dx.doi.org/10.5296/ijhrs.v4i1.5644.

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Profitability is an important factor to show this articledoeswhat is the role of the intermediary bank to collect your savings and allocation of loans. Given the importance of profitability indicators in this study, the factors affecting the profitability of commercial banks in Iranare analyzedwith emphasis on the degree of centralization and bank deposits. Dependent variable is indicators of profitability (ROE, ROA) and bank deposits, bank size, bank capital, focus on liquidity and banking requirements are independent variables. Correlation analysis and OLS regression are used and the researc
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Renta, Intan Anjeli, and Juliana Kadang. "Faktor-Faktor Yang Mempengaruhi Profitabilitas Perbankan Indonesia (Factors Affecting the Profitability of Indonesian Banking)." Akutansi Bisnis & Manajemen ( ABM ) 28, no. 2 (2021): 1. http://dx.doi.org/10.35606/jabm.v28i2.922.

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This study aims to analize the factors that affect the profitability of banks at state-owned banks and private foreign exchange banks listed on the IDX in 2015-2019. The factors used are liquidity, capital, credit risk, and operational efficiency. The analysis technique used is panel data regression with the Fixed Effect Model approach. The results showed that simultaneously liquidity, capital, credit risk and operational efficiency had a significant effect on profitability. then partially liquidity and capital do not have a significant effect on profitability, while credit risk and operationa
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9

Ojha, Pushpa Raj. "Macroeconomics And Bank-Specific Factors Affecting Liquidity: A Study Of Nepali Commercial Banks." Journal of Business and Social Sciences 1, no. 1 (2018): 79–87. http://dx.doi.org/10.3126/jbss.v1i1.22830.

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This paper aims to examine the form and pattern of liquidity, NPL, return on assets, CAR, return on equity, GDP, inflation and interbank rate in Nepalese commercial banks. The study is intended to analyze the relationship between liquidity and bank specific variables in Nepalese commercial banks. The key findings stated that there is significant relation between numbers of variables that impacts on the liquidity performance of Nepalese commercial banks. The panel data of commercial banks from 2010/11 to 2016/17 has been taken for the purpose of the research. Mean, standard deviation, correlati
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10

Ojha, Pushpa Raj. "Macroeconomics And Bank-Specific Factors Affecting Liquidity: A Study Of Nepali Commercial Banks." Journal of Business and Social Sciences 2, no. 1 (2018): 79–87. http://dx.doi.org/10.3126/jbss.v2i1.22830.

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This paper aims to examine the form and pattern of liquidity, NPL, return on assets, CAR, return on equity, GDP, inflation and interbank rate in Nepalese commercial banks. The study is intended to analyze the relationship between liquidity and bank specific variables in Nepalese commercial banks. The key findings stated that there is significant relation between numbers of variables that impacts on the liquidity performance of Nepalese commercial banks. The panel data of commercial banks from 2010/11 to 2016/17 has been taken for the purpose of the research. Mean, standard deviation, correlati
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11

Grover, Naina, and Pankaj Sinha. "Determinants, persistence and value implications of liquidity creation: an evidence from Indian banks." Journal of Asia Business Studies 15, no. 2 (2021): 384–400. http://dx.doi.org/10.1108/jabs-06-2019-0192.

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Purpose The purpose of this paper is to explore the micro and macro factors affecting liquidity creation by scheduled commercial banks (excluding Regional Rural Bank) in India from 2005 to 2018. Design/methodology/approach Two measures of liquidity creation, the broad and narrow measures, are constructed using RBI data available on Indian banks. System generalized method of moments has been applied to explore the factors affecting liquidity creation. Findings This study finds high level of persistence in liquidity creation in banks. Variation in the broad measure is explained by equity ratio,
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12

Nguyen, Phuong Anh, and Thi Thuy Trang Dinh. "Factors Affecting Bank Risks in Vietnam." International Journal of Economics and Finance 13, no. 10 (2021): 42. http://dx.doi.org/10.5539/ijef.v13n10p42.

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The research identifies the determinants of credit risk and insolvency risk in the Vietnamese banking sector. Using the data sample of 25 commercial banks over ten years (2008-2017), we examine the relationship between internal variables, external variables, and bank risks. In this study, the independent variables are bank size, bank capitalization, return on asset, return on equity, loan loss provision, capital adequacy ratio, inflation rate, and GDP growth rate. In contrast, non-performing loans and Z-score are the dependent variables. The empirical results show that all factors have an effe
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13

Al-Harby, Ahmad. "Factors Affecting Capital Structure of Conventional and Islamic Banks: Evidence from MENA Region." Global Review of Islamic Economics and Business 7, no. 2 (2019): 069. http://dx.doi.org/10.14421/grieb.2019.072-02.

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This study aim is to investigate and compare the factors affecting conventional and Islamic bank’s capital structure choice as well as their financial characteristics. According to the best of my knowledge, this is the first paper that mainly concentrated in comparing the determinants of capital structure of conventional and Islamic banks using a cross-country data and for a long period of time (20 years). The study revealed several findings. Firstly, descriptive statistics (equality of means test) showed that conventional banks more leveraged and liquid than Islamic banks. In contrast, Islami
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14

THONG, TRUONG QUANG. "Factors Affecting Liquidity Risk in the System of Vietnamese Commercial Banks." Journal of Economics Development 219 (January 1, 2014): 34–48. http://dx.doi.org/10.24311/jed/2014.219.1.08.

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15

Mdaghri, Anas Alaoui, and Lahsen Oubdi. "Bank-Specific and Macroeconomic Determinants of Bank Liquidity Creation: Evidence from MENA Countries." Journal of Central Banking Theory and Practice 11, no. 2 (2022): 55–76. http://dx.doi.org/10.2478/jcbtp-2022-0013.

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Abstract This study measures liquidity creation within a sample of 153 banks operating in 12 Middle Eastern and North African (MENA) countries from 2008 to 2017. We found that these banks created a total of $461.32 billion in liquidity in 2017, approximately 1.51 times the total liquidity created in 2008, mainly driven by commercial banks in Gulf Cooperation Council (GCC) countries. We also conducted an econometric analysis to investigate the internal and external factors affecting bank liquidity creation, applying a Fixed Effects model and the new Method of Moments Quantile Regression (MMQR).
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16

Mohammed, Renas I., Kovan M. A. Gawdan, and Islam S. T. Babela. "FACTORS AFFECTING CAPITAL STRUCTURE OF THE BANKS LISTED ON IRAQI STOCK EXCHANGE (2009-2014)." Humanities Journal of University of Zakho 5, no. 2 (2017): 487. http://dx.doi.org/10.26436/2017.5.2.398.

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The current study aims to examine the factors affecting capital structure of (16) banks listed on the Iraqi Stock Exchange (ISX) during the period 2009 to 2014. Several factors could have an impact on capital structure. While, this study concentrates on four characteristics of Iraqi banks and attempts to identify their effect on financing decision of these banks. Growth, profitability, liquidity and size have been used as independent variables. However, the study depends on leverage as a dependent variable to measure the capital structure of banks. Using a multiple linear regression model by (
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17

Rahman, Mohammad Morshedur, Kazi Mohammed Kamal Uddin, and Syed Moudud-Ul-Huq. "Factors affecting the Risk-taking Behavior of Commercial Banks in Bangladesh." Applied Finance and Accounting 1, no. 2 (2015): 96. http://dx.doi.org/10.11114/afa.v1i2.850.

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This study examines the capital regulation, profitability, bank size, liquidity, off-balance sheet activities, charter value, dividend payout ratio and macroeconomic variables as determinants of bank risk (credit risk and overall risk) by using information from 30 Bangladeshi commercial banks over a period of 2005-2013. We use Generalized Methods of Moments (GMM) in a balanced dynamic panel data framework. The empirical results show a negative relation between credit risk and capital regulation and a mixed relation between overall risk and capital regulation. We find a negative relation betwee
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18

Nnadi, Matthias A., Sailesh Tanna, and Bariyima Kabel. "Multivariate analyses of factors affecting dividend policy of acquired European banks." Corporate Ownership and Control 10, no. 3 (2013): 86–95. http://dx.doi.org/10.22495/cocv10i3siart7.

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Dividends, particularly of acquired banks are influenced by several structural adjustments especially after mergers. The paper evaluates the various factors affecting dividend of both acquired and non-acquired banks. Using data from 120 large mergers and acquisitions in Europe, the study finds that while the levels of liquidity, risk, composition of the financial structure are pertinent factors in the dividend policy of banks, the price earning (PE) ratio is specifically fundamental to non-acquired banks. The significance of the variable in the non-acquired banks indicates that growth in bank
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19

Koroleva, Ekaterina, Shawuya Jigeer, Anqi Miao, and Angi Skhvediani. "Determinants Affecting Profitability of State-Owned Commercial Banks: Case Study of China." Risks 9, no. 8 (2021): 150. http://dx.doi.org/10.3390/risks9080150.

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The study examines the relationship between internal determinants, external determinants and the profitability of state-owned commercial banks. We use pooled regression, fixed effect, and random effect models on the case of the top five Chinese state-owned commercial banks from 2007 to 2019. The results show that internal factors, measured by size, credit quality, and liquidity, significantly positively influence banks’ profitability. State-owned banks that have larger sizes, higher credit quality, and higher liquidity have accordingly higher profitability than other banks. On the contrary, th
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20

Fitriani, Regita Nur, and Dimas Sumitra Danisworo. "Analisis Faktor-Faktor yang Memengaruhi Risiko Likuiditas pada Bank Umum Syariah di Indonesia." Journal of Applied Islamic Economics and Finance 1, no. 1 (2020): 71–84. http://dx.doi.org/10.35313/jaief.v1i1.2393.

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This research was conducted to analyze what factors affecting the liquidity risk in Islamic Banks in Indonesia. In this study, the measurement of liquidity risk will be seen from other factors that can affects liquidity risk including Cash Ratio (CsR), Size of Bank (SOB), Third Party Funds (DPK), Capital Adequacy Ratio (CAR), Net Working Capital (NWC), and Investment (INV). The research method used in this research is a quantitative descriptive analysis uses the Eviews 9 program. The object of this analysis is twelve Islamic Banks in Indonesia which have been operating from 2014-2018. The anal
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21

Laštůvková, Jana. "Liquidity Determinants of the Selected Banking Sectors and their Size Groups." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 64, no. 3 (2016): 971–78. http://dx.doi.org/10.11118/actaun201664030971.

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The article focuses on the factors affecting the liquidity of selected bank sectors, as well as their size groups, using panel regression analysis. For higher complexity of the results, multiple dependent variables are used: liquidity creation, outflow and net change. The values are calculated based on the specific method of liquidity risk measurement – gross liquidity flows. The results indicate both multiple effects of some factors on the given variables, as well as isolated influence of factors on a single liquidity form or size group. Thus, when looking for determinants using just one form
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Ali, Zulfiqar, Zahid Bashir, Muhammad Usman Arshad, Ahmed Ghazali, Muhammad Asif, and Fahad Najeeb Khan. "Analysis of Some Inner Factors Affecting the Lending Rate and Commercial Bank Behavior." e-Finanse 12, no. 4 (2017): 111–19. http://dx.doi.org/10.1515/fiqf-2016-0013.

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Abstract This research study aims to investigate the potential inner factors of the lending rate in the commercial banking sector of Pakistan. For this purpose, seven bank-specific explanatory variables (capital adequacy, management efficiency, liquidity, asset quality, investment to asset, loan to asset and deposit to asset ratios) were selected to determine their impact on lending behavior. Panel data techniques were emplyed on secondary data collected from the annual financial reports from a sample of ninteen major commercial banks over a period of 2007 to 2014. For the purpose of analysis,
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Shah, Syed Quaid Ali, Imran Khan, Syed Sadaqat Ali Shah, and Muhmmad Tahir. "Factors Affecting Liquidity of Banks: Empirical Evidence from the Banking Sector of Pakistan." Colombo Business Journal 9, no. 1 (2018): 01. http://dx.doi.org/10.4038/cbj.v9i1.20.

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Mirzaxidovna, Shokirova Malika. "Some main criteria for liquidity management of commercial banks and factors affecting it." Asian Journal of Research in Banking and Finance 12, no. 4 (2022): 11–18. http://dx.doi.org/10.5958/2249-7323.2022.00018.9.

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Zhang, Liulu, and Qiujing Zhao. "Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data Model." E3S Web of Conferences 253 (2021): 03006. http://dx.doi.org/10.1051/e3sconf/202125303006.

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In this paper, 16 commercial banks listed on Shanghai and Shenzhen A-shares are selected as research samples and data from 2010 to 2019 are adopted. According to their mechanism of operation, scale of asset and etc, the research samples are divided into three groups. They are 16 listed commercial banks as a whole, 5 large state-owned listed commercial banks and 11 other medium and large listed commercial banks. The study makes an empirical analysis on the factors affecting the liquidity risk of listed commercial banks. Firstly, the factors affecting liquidity risk of listed commercial banks ar
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Al-Harbi, Ahmad. "Determinants of banks liquidity: evidence from OIC countries." Journal of Economic and Administrative Sciences 33, no. 2 (2017): 164–77. http://dx.doi.org/10.1108/jeas-02-2017-0004.

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Purpose Specifically, the purpose of this paper is to identify the key factors affecting banks’ liquidity in developing/less-developing countries. Design/methodology/approach In this paper, the author uses the ordinary least-square fixed effect model on an unbalanced panel data set of all conventional banks (686 banks) operating in the organization of Islamic cooperation countries over the period 1989-2008. Findings The estimation results show that all the determinants have statistically significant relationship with liquidity (except for concentration) but with different signs. On the one han
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Anjom, Washeka. "An Empirical Study on the Factors Affecting the Interest Rate Spread of Listed Conventional Commercial Banks of Bangladesh." European Journal of Business and Management Research 6, no. 5 (2021): 192–99. http://dx.doi.org/10.24018/ejbmr.2021.6.5.1086.

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This paper aims to explore the factors affecting the interest rate spread of the listed conventional commercial banks of Bangladesh from 2011 to 2019. For this, banks' interest rate spread has been considered a dependent variable while bank-specific, industry-specific, and macroeconomic factors have been considered independent variables. Bank-specific factors are credit risk, bank size, operating cost, liquidity risk, net interest income, capital adequacy, return on equity. The bank industry-specific factor is market share, while macroeconomic factors are GDP and Inflation. Pooled Ordinary Lin
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Nizamani, Abdul Rahman, Zulkefly Abdul Karim, Mohd Azlan Shah Zaidi, and Norlin Khalid. "Bank heterogeneity in interest rate pass-through: A panel evidence of Pakistan." Asian Academy of Management Journal of Accounting and Finance 17, no. 2 (2021): 107–32. http://dx.doi.org/10.21315/aamjaf2021.17.2.5.

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This article examines the role of bank-level characteristics in determining the nature of interest rate pass-through from monetary policy rates to commercial banks’ lending rates in Pakistan. Several bank-level factors, namely market size, liquidity, capitalisation, profitability, and competition level, were used in analysing the pass-through mechanism. This study utilised a dynamic heterogeneous panel technique, namely the Pooled Mean Group (PMG) estimation for the sample of 12 private commercial banks, over the time span 2003:Q2 to 2015:Q4. Banks of smaller size, large capital, and higher li
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Singh, Anamika, and Anil Kumar Sharma. "An empirical analysis of macroeconomic and bank-specific factors affecting liquidity of Indian banks." Future Business Journal 2, no. 1 (2016): 40–53. http://dx.doi.org/10.1016/j.fbj.2016.01.001.

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Tran, Hoang Huy, and Huan Huu Nguyen. "Analyzing factors affecting the performance of Vietnam’s commerical banks in the era of international financial integration." Science and Technology Development Journal 19, no. 1 (2016): 88–101. http://dx.doi.org/10.32508/stdj.v19i1.530.

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The paper researches on factors affecting the performance of Vietnam‟s commercial banks in the integration period of 2005 – 2011, using Stochastic Frontier Panel Data (SFA) method. The results suggest that the performance of Vietnam‟s commercial banks are determined by two main groups of factors, which are subjective and objective. The former includes market share, liquidity risk, foreign holding ratio and bank size while the latter consists of GNP, and inflation. Determinants of the performance of Vietnam‟s commercial banks are foreign holding ratio, banking size and market share.
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Susy Muchtar, Abdurrahman Setiawan,. "Factor Affecting the Capital Adequacy Ratio of Banks Listed in Indonesia Stock Exchange." Jurnal Ekonomi 26, no. 1 (2021): 153. http://dx.doi.org/10.24912/je.v26i1.733.

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The purpose of this study is to conclude the factors that affect bank capital adequacy ratios. The sample used is 42 banks listed on the Indonesia Stock Exchange in 2015-2019. The analysis method used was panel data regression and using purposive sampling for the sampling technique. The independent variables in this study are loan loss reserves, return on equity, bank size liquidity ratio and loan ratio, and capital adequacy ratio is the dependent variable. The results show that bank size and the return on equity have a positive effect on capital adequacy ratio, while loan ratio has a negative
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Tumwine, Sulait, Samuel Sejjaaka, Edward Bbaale, and Nixon Kamukama. "An empirical analysis of bank specific factors affecting interest rate of Ugandan banking financial institutions." World Journal of Entrepreneurship, Management and Sustainable Development 14, no. 2 (2018): 153–67. http://dx.doi.org/10.1108/wjemsd-07-2017-0046.

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Purpose The purpose of this paper is to investigate the effect of bank specific factors on interest rate in banking financial institutions (BFIs) of Uganda. Design/methodology/approach To analyze the effect, an OLS random effects regression estimate on a data set of 24 banks from 2008 to 2016 from Bank of Uganda Depository Corporation survey was carried out. Studied bank specific factors including liquidity, operational efficiency, credit risk, capitalization and lending ratio are considered. Findings The results indicate that liquidity, operational efficiency, capitalization and lending out r
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Alfadli, Abduallah, and Sahraoui Djalila. "Factors Affecting Commercial Banks’ Capital Adequacy Ratios in Gulf Cooperation Council (GCC) Countries." Scholars Journal of Economics, Business and Management 9, no. 2 (2022): 37–42. http://dx.doi.org/10.36347/sjebm.2022.v09i02.002.

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This study seeks to identify factors that influence bank capital adequacy ratios for a sample of consists of 62 commercial banks listed on the stock markets operating in GCC countries over the time between 2011 and 2018 was used. To deal with the problems of the data set, we utilize the PCSE method. The empirical results suggested that among the CAMELS model variables, capital ratio, management efficiency, earning capacity, liquidity management, and sensitivity have a positive statistical significant influence on bank capital adequacy ratios. In contrast, Asset quality, market concentration, a
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Jun Quan, Lee, Suganthi Ramasamy, Devinaga Rasiah, Yuen Yee Yen, and Shalini Devi Pillay. "DETERMINANTS OF ISLAMIC BANKING PERFORMANCE: AN EMPIRICAL STUDY IN MALAYSIA (2007 TO 2016)." Humanities & Social Sciences Reviews 7, no. 6 (2019): 380–401. http://dx.doi.org/10.18510/hssr.2019.7664.

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performance.
 Methodology: The methodology being used to analysis are an ordinary least square model (OLS) and fixed-effect model. The analysis was conducted in Malaysia for a period of 10 years from 2007 to2016. 10 Islamic banks in Malaysia were chosen to be tested for its performance. The study examines internal factors such as bank size, capital adequacy, liquidity, credit risk, and expense management and external factors such as Gross Domestic Product (GDP) and inflation effect on Islamic Bank’s performance in terms of return on asset and return on equity.
 Result: The findings s
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CHALDAEVA, Larisa A., and Arsenii A. DANILIN. "Transactions of VTB Bank with debt and equity securities." Finance and Credit 27, no. 5 (2021): 998–1021. http://dx.doi.org/10.24891/fc.27.5.998.

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Subject. This article covers VTB's operations with securities and their effect on bank's financial sustainability and growth in assets. The main focus of the study was put on secondary public offering in 2013 and the issue of perpetual bonds in 2012 by VTB. Objectives. We assess the dynamics of VTB's balance sheet items as a result of secondary public offering. We analyze consequences of perpetual bonds issued in terms of their lucrativeness for the issuer and investors. The study identifies factors affecting the market value and liquidity of VTB's perpetual bonds on the MOEX. Methods. The res
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Segarawasesa, Fajar Satriya. "Analysis of factors affecting sharia compliance levels in sharia banks in Indonesia." Asian Journal of Islamic Management (AJIM) 3, no. 1 (2021): 56–66. http://dx.doi.org/10.20885/ajim.vol3.iss1.art6.

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Purpose: This study aims to analyze the factors that influence the level of sharia compliance in sharia banks in Indonesia. In particular, this study examines the effect of liquidity, firm size, Sharia Supervisory Board Size, and Audit Committee on the level of sharia compliance in sharia banks in Indonesia. Methodology: This study uses quantitative methods with secondary data in the form of sharia bank annual reports 2014-2018. The data analysis uses regression test with the help of SPSS software. Findings: The results of the analysis show that the size of the sharia supervisory board and aud
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Timilsina, Lalit Prasad. "Determinants of capital structure in Nepalese commercial banks." International Research Journal of MMC 1, no. 1 (2020): 50–70. http://dx.doi.org/10.3126/irjmmc.v1i1.34119.

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This study examines the determinants of capital structure in Nepalese Commercial Banks. The study is based on secondary data of 16 commercial banks with 112 observations for the period 2011/12 to 2017/18. The total debt to total assets and total debt to total equity were selected as dependent variables while return on assets, bank size, assets tangibility, assets growth and liquidity are the independent variables. The data were collected from annual reports of concerned sample bank. The Pearson's correlation coefficients and regression models are estimated to test the significance and impact o
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Sayed Abd Elghaffar, Emad, Ahmed Mohamed Abotalib, and Manal Abdel Azeem Mohamed Khalil. "Determining factors that affect risk disclosure level in Egyptian banks." Banks and Bank Systems 14, no. 1 (2019): 159–71. http://dx.doi.org/10.21511/bbs.14(1).2019.14.

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This study aims to measure the risk disclosure level in Egyptian banks and to investigate its determinants. The sample consisted of 28 banks during the period from 2010 to 2017. An unweighted risk disclosure index including six categories was used: credit risk, market risk, liquidity risk, capital structure and adequacy risk, operational risk, and other non-financial risks. Also, a content analysis approach was used to measure the actual level of risk disclosure. The findings demonstrated that there was an average level of total risk disclosure of all sample banks. The results showed that bank
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Shahu, Dil Krishna. "Determinants of Distress Risk of Nepali Commercial Banks." Batuk 5, no. 2 (2019): 1–13. http://dx.doi.org/10.3126/batuk.v5i2.30113.

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This paper aims to examine the banks’ specific factors affecting distress risk. Using modified Altnan Z score as measure of distress risk, the study employed secondary data of 18 banks listed in Nepal Stock Exchange Limited for the study period from 2008 to 2014. The results show that the liquidity, profitability and size have the significant positive effect on z score indicating lower distress risk of firms. These results support the too big to fail doctrine and provides justification to increment of capital to 8 Arba by Nepal Rastra Bank. The study provides insight into the regulatory body a
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Sinha, Preeta, and Protik Basu. "Dynamics of Risk Factors Affecting the Capital Adequacy Ratio with Special Reference to UCO Bank." Asian Journal of Managerial Science 8, no. 2 (2019): 10–13. http://dx.doi.org/10.51983/ajms-2019.8.2.1559.

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To reinforce the stability of the financial system, policy makers and the Basel committee have proposed Basel accord to ensure that financial institutions maintain sufficient capital buffers. Basel III framework emphasizes on sustained increase in bank capital in order to absorb the potential credit, market and operational risks. The capital adequacy requirement under Basel III norms are directly linked to the PCA (Prompt Corrective action) framework which has disrupted the flow of credit in the economy. Market risk, Credit risk, Operational risk and deposits are some of the factors affecting
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Thao, Vu Thi Phuong, and Le Trung Thanh. "An Empirical Analysis of Macroeconomic and Bank-Specific Factors Affecting Bank Deposits in Vietnam." International Journal of Financial Research 12, no. 2 (2021): 172. http://dx.doi.org/10.5430/ijfr.v12n2p172.

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This paper investigates the macroeconomic and bank-specific factors that determine bank deposits in Vietnam. To explore the association, A Fixed and random effect model was performed on a data set of 40 banks from 2006 to 2019. Studied bank-specific factors include capital adequacy ratio, profitability, bad loan, liquidity and listing. In addition, GDP and inflation are the macroeconomic factors considered. Based on panel data analysis, it is suggested that bank-specific factors such as bank size, bad loan, profitability GDP and inflation have a notable effect on bank depositsAmong these facto
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T. Yahya, Ali, Asif Akhtar, and Mosab I. Tabash. "The impact of political instability, macroeconomic and bank-specific factors on the profitability of Islamic banks: an empirical evidence." Investment Management and Financial Innovations 14, no. 4 (2017): 30–39. http://dx.doi.org/10.21511/imfi.14(4).2017.04.

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This study investigates the impact of political instability, macroeconomic and bank-specific factors on the profitability of Islamic banks in the context of Yemen. The study used two common measures of profitability, namely, Return on Assets (ROA) and Return on Equity (ROE) as dependent variables. Seven key independent (internal and external) variables are also used. There are five fully-fledged Islamic banks (IBs) working in Yemen. The study selected only three out of five IBs due to the availability of data for the period ranging from 2010 to 2014. The descriptive and multiple regression ana
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Sultan Obeidat, Mohammed Ibrahim, and Nadeen Mohammed Adnan Mohammed Yasin Darkal. "Internal Liquidity Determinants Analysis of Commercial Banking Industry of Jordan." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 18 (March 16, 2022): 382–93. http://dx.doi.org/10.37394/232015.2022.18.38.

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The study aims to determine the possible internal factors affecting the liquidity position of the commercial banking industry of Jordan. Several possible determinants are taken into account in the study including, profitability, credit growth rate, customer deposits, financial leverage, capital adequacy, and bank size. The secondary data covering the period 2008-2019, of 13 out of 15 listed banks at Amman Stock Exchange, is gathered and analyzed. In total, 1,092 observations are employed in the analysis to achieve the goals of the study. All hypotheses are tested under 95 level of confidence,
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Fallah Jelodar, Mehdi. "Prioritization of the Factors Affecting Bank Efficiency Using Combined Data Envelopment Analysis and Analytical Hierarchy Process Methods." Journal of Optimization 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5259817.

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Bank branches have a vital role in the economy of all countries. They collect assets from various sources and put them in the hand of those sectors that need liquidity. Due to the limited financial and human resources and capitals and also because of the unlimited and new customers’ needs and strong competition between banks and financial and credit institutions, the purpose of this study is to provide an answer to the question of which of the factors affecting performance, creating value, and increasing shareholder dividends are superior to others and consequently managers should pay more att
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Bibi, Nazish, and Shehla Amjad. "The Relationship between Liquidity and Firms’ Profitability: A Case Study of Karachi Stock Exchange." Asian Journal of Finance & Accounting 9, no. 1 (2017): 54. http://dx.doi.org/10.5296/ajfa.v9i1.10600.

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The purpose of this paper is to investigate the relationship between firm’s liquidity and profitability; and to find out the effects of different components of liquidity on firms’ profitability.The relationship between liquidity and firms’ profitability is empirically examined by collecting the data of 50 listed firms of Karachi Stock Exchange, Pakistan. Panel data has been collected from secondary sources for the year 2007 to 2011 .Net operating income and Return on assets are used measure of firm’s profitability. Liquidity of the firm is measured by using cash gap in days and current ratio.
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Ganić, Mehmed. "An Empirical Analysis of Factors Affecting Bank Interest Margins: Evidence from the South East European Countries." Comparative Economic Research. Central and Eastern Europe 21, no. 2 (2018): 81–98. http://dx.doi.org/10.2478/cer-2018-0013.

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This paper provides an empirical analysis of factors affecting Bank Interest Margins in eight countries of the South‑East European (SEE) region between 2000 and 2014. The purpose of this paper is to examine and investigate the main drivers of Bank Interest Rate Margins across selected countries throughout the SEE region. Also, the study explored the relationship between the dependent variable Interest Rate Spread (IRS – as a proxy variable for measuring variation in Bank Interest Rate Margins) and a set of selected banks’ specific variables in SEE by employing panel data estimation methodology
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Amer, Senan. "The Role of Using CAMELS Model in Analyzing the Factors Affecting the Performance of The Jordanian Commercial Banks (2014-2019)." Theory, Methodology, Practice 17, no. 2 (2021): 3–11. http://dx.doi.org/10.18096/tmp.2021.03.01.

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In this study, the factors affecting the performance of Jordanian commercial banks have been analyzed using the elements of the CAMELS model, along with identifying the most important factors. The study targeted the impact of twenty Jordanian commercial banks on performance-; these banks were listed on the Amman Stock Exchange during the period of 2014-2019. The researcher used the Data Pooled Regression Method, due to its relevance to the nature of the data used in the study, where this method is used in the case of a time series and cross-sectorial data. The Rate of Return on Assets and the
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Abdyldaeva, U. M. "ANALYSIS OF THE FINANCIAL STATUS OF COMMERCIAL BANKS." Herald of KSUCTA, №2, Part 1, 2022, no. 2-1-2022 (April 30, 2022): 528–33. http://dx.doi.org/10.35803/1694-5298.2022.2.528-533.

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This article reveals the need to study the financial position of the bank, the results of which can be used to justify the decisions of regulatory authorities. The financial position of commercial banks in Kyrgyzstan is being investigated, as the results of the financial position survey warn consumers against using unreliable banking services. The Bank strives to give an objective assessment of the current and future situation. Recent events in the world, especially the situation with the pandemic, require an analysis of the financial situation of commercial banks. In modern, more competitive
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Ghosh, Saibal. "Financial misconduct in Indian banks: what matters and what doesn’t?" Journal of Risk Finance 21, no. 2 (2020): 57–76. http://dx.doi.org/10.1108/jrf-08-2019-0146.

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Purpose While several facets of financial misconduct have been explored, one aspect which has largely bypassed the attention of researchers is the factors affecting such misconduct behavior in banks. To investigate this in detail, this paper aims to use disaggregated data on Indian banks for an extended period to understand the factors driving such behavior. Design/methodology/approach Given the longitudinal nature of the data, the author uses fixed effects regression methodology which enables us to control for unobserved characteristics that might affect the dependent variable. Findings The a
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Larionov, A. V. "Methodological Approach to Assessing the Investment Attractiveness of the Industry for the Banking Sector." Voprosy statistiki 26, no. 12 (2019): 52–60. http://dx.doi.org/10.34023/2313-6383-2019-26-12-52-60.

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This paper presents selected results of the study on improving information and methodological tools to increase the effectiveness of entrepreneur’s and state investment policy. Final result of this study - is developing guidelines for calculating the coefficient of investment attractiveness of the banking industry based on the physical theory of heat transfer. Classification of industries according to the degree of investment attractiveness allows to select the industries that will receive the least amount of resources from private investors. The least attractive sectors will be able to obtain
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