scholarly journals FACTORS AFFECTING LIQUIDITY RISK- AN EMPIRICAL ANALYSIS ON TURKISH BANKING SECTOR

2021 ◽  
Author(s):  
Bade EKİM KOCAMAN ◽  
Şenol BABUŞCU ◽  
Adalet HAZAR
Keyword(s):  
Empirical Analysis ◽  
Banking Sector ◽  
Liquidity Risk ◽  
Factors Affecting

scholarly journals An Empirical Analysis of Factors Affecting Bank Interest Margins: Evidence from the South East European Countries

2018 ◽  
Vol 21 (2) ◽  
pp. 81-98
Author(s):  
Mehmed Ganić
Keyword(s):  
Interest Rate ◽  
Empirical Analysis ◽  
Banking Sector ◽  
Output Growth ◽  
The South ◽  
Factors Affecting ◽  
East European ◽  
Interest Margins ◽  
See Region ◽  
Bank Concentration

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. This research is based on aggregate data for the whole banking sector of each country. In line with some expectations, our findings confirm the importance of credit risk, bank concentration operative efficiency, and inflation expectations in determining Bank Interest Rate Margins. Interestingly, in contrast to the majority of recent empirical research, the study found an inverse relationship between the bank concentration variable and Bank Interest Rate Margins as well as between the operational efficiency variable and Bank Interest Rate Margins. Also, the study could not find statistically significant evidence that Bank Interest Rate Margins are determined by output growth, bank profitability (measured by ROA) or liquidity risk.

scholarly journals The Determinants Of Islamic Retail Banking Adoption In Malaysia

2012 ◽  
Vol 11 (4) ◽  
pp. 437 ◽  
Author(s):  
Seethaletchumy Thambiah ◽  
Shanti Ramanathan ◽  
Mohammad Nurul Huda Mazumder
Keyword(s):  
Empirical Analysis ◽  
Market Share ◽  
Banking Sector ◽  
Retail Banking ◽  
Marketing Strategies ◽  
Relative Advantage ◽  
Policy Makers ◽  
Factors Affecting ◽  
The Past ◽  
Promotional Efforts

This study aims to examine the factors affecting the adoption of Islamic retail banking (IRB) products and services among the banking customers of Malaysia. The market share of Islamic retail banking remains low despite being in operation for the past 28 years. Therefore, an empirical analysis was conducted to study the usage of Islamic retail banking products and services between the urban and rural banking customers of Malaysia. Comparisons were also made on the usage of Islamic deposits and financing schemes between the Muslim and non-Muslim customers. The findings of the study revealed, relative advantage, promotional efforts, complexity, compatibility and awareness on attributes of Islamic retail banking as the significant determinants of the usage of Islamic retail banking products and services. Thus, the findings of this study serves as a valuable guideline to the banking sector and policy makers to devise appropriate marketing strategies to promote Islamic retail banking products and services aggressively among the banking customers of Malaysia.

Measurement of Vulnerability of Financial Portfolio of Sharia Commercial Banks by Cardona Method

2017 ◽  
Vol 9 (2) ◽  
pp. 109
Author(s):  
Paulina Harun ◽  
Atman Poerwokoesoemo
Keyword(s):  
Commercial Banks ◽  
Quantitative Research ◽  
Banking Sector ◽  
Banking Industry ◽  
Policy Makers ◽  
Factors Affecting ◽  
Section Data ◽  
Initial Stage ◽  
The Face ◽  
Asset Portfolio

his study aims to: (1) to know and analyze the extent of volatility (vulnerability) of sharia banking industry in Indonesia in the face of competition (2) to know and analyze factors affecting vulnerability of sharia commercial banks; (3) to know and analyze the extent of sustainable development of sharia banking industry to Indonesia's economic development.The research conducted to measure the vulnerability (volatility) of proto folio of syariah bank using observation period 2015, and the data used is cross section data. The research design used in this research is quantitative research, using asset dimension (asset portfolio, liability portfolio, equity portfolio) and stressor (pressure, including: credit risk, market risk, and liquidity risk).The activity plan of this research is: in the initial stage of conducting theoretical study related to the vulnerability related to banking especially BUS; The next step is to determine the asset and stressor dimensions associated with the BUS; Further determine the indicators related to assets and stressors; The next step performs calculations to determine the index of each BUS as well as the dimensions that affect the vulnerabilities faced by each BUS.Target expected outcomes can be generated from this research is: for the object of research (BUS) provide a solution for BUS to deal with and overcome the vulnerabilities encountered and policies that must be done. For policy makers, the results of this study are expected to provide input in decision-making and other policies.Measurement of vulnerability to be performed related to banking operations in the face of competition and the continuity of BUS in Indonesia. The outcomes of this study are expected to be included in Bank Indonesia journals, the selection of this journal is based on studies conducted in the banking sector, especially BUS in Indonesia.

Analysis of Financial Performance of Public Sector Banks in India: CAMEL

2020 ◽  
pp. 097674792096686
Author(s):  
Yudhvir Singh ◽  
Ram Milan
Keyword(s):  
Public Sector ◽  
Banking Sector ◽  
Positive Impact ◽  
Secondary Data ◽  
Capital Adequacy ◽  
Factors Affecting ◽  
Public Sector Banks ◽  
The Government ◽  
And Performance ◽  
Asset Quality

Public sector banks have been merged by the government in the last few years. This is the rationale behind conducting this study. The purpose of this article is to determine the factors affecting the performance of public sector banks in India and the interrelationship between bank-specific determinants and performance of public sector banks. In this article, we shall analyse the financial data of all the public sector commercial banks for a period spread across 11 years (2009–2019); Capital adequacy, Assets quality, Management efficiency, Earning, and Liquidity (CAMEL) has been used as a performance determinant; system generalised method of moments (GMM) analysis has been used to find the effect of determinants on the performance measurement of public sector banks; and CCA (canonical correlation analysis) has been used to find the interrelationship between the bank-specific determinants and the performance of public sector banks. The finding has important implications in terms of performance in the banking sector. Certain limitations of this study are: It is based on secondary data. The study only covers the financial aspects and not the non-financial aspects. It is found that the asset quality is negatively related with performance of public sector banks. Liquidity and inflation are inversely related to performance of public sector banks in India. Capital adequacy is positively related with banks’ performance, but inversely related with banks’ interest margin. GDP growth has a significant positive impact on banks’ performance, but inversely related with banks’ interest income. Inflation rate is inversely related with banks’ performance. Banking sector reforms are insignificantly related with banks’ performance.

Factors Affecting NPAs in Indian Banking Sector

Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 181-193
Author(s):  
Nitya Garg
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Banking Sector ◽  
Relative Weight ◽  
Multiple Regression Model ◽  
Factors Affecting ◽  
Weight Analysis ◽  
Specific Factors ◽  
Relative Weight Analysis ◽  
Bank Specific Factors

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.

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