Relationship Among Non-Interest Income, Profitability and Risk in Nepalese Commercial Banks

2019 ◽  
Author(s):  
Ravi Dhungel
Keyword(s):  
Commercial Banks ◽  
Interest Income

scholarly journals A Study on Financial Performance of the Jordanian Commercial Banks using the CAMEL Model and Panel Data Approach

2020 ◽  
Vol 9 (4) ◽  
pp. 111-130
Author(s):  
Jamil Al Zaidanin
Keyword(s):  
Commercial Banks ◽  
Negative Relationship ◽  
Capital Adequacy ◽  
Primary Data ◽  
Quality Level ◽  
Financial Reports ◽  
Interest Income ◽  
Lending Policy ◽  
Performance Determinants ◽  
Asset Quality

The purpose of this research paper is to extensively investigate and examine the effect of the CAMEL model variables on the profitability and financial soundness of the thirteen Jordanian commercial banks for the period of 2013 to 2019, the primary data were collected from the published audited financial reports of the Jordanian commercial banks. The study uses CAMEL model variables of Capital adequacy, Asset Quality, Management efficiency, Earnings ability, and Liquidity management to rank banks as per their overall performance and measuring their effect on banks’ profitability measures of Return on Assets and Return on Equity separately through applying the fixed effect regression model. It is concluded that the ranking approach shows that Bank of Jordan was in the top position followed by the Capital Bank of Jordan. Jordan Ahli Bank was in the lowest rank in most positions. Furthermore, the empirical results indicates that Non-Interest Income to Total Assets and Net Interest Income to Total Loans and Advances have significant positive relationships with both profitability measures whereas cost to Total Income and Non-Interest Income to Total Assets have strong negative relationships with the profitability measures. In addition, Equity to Total Assets has strong negative relationship with ROE. The study suggests that Jordanian commercial banks can improve their profitability through the concentration on main activities, efficiently managing their capital adequacy, maintaining high quality level of lending policy, and utilization of full assets. Additionally, the current study recommends conducting more studies on banks’ performance determinants with an expanded scope and using more financial models besides the CAMEL model.

scholarly journals Revenue Diversification, Risk and Bank Performance of Vietnamese Commercial Banks

2019 ◽  
Vol 12 (3) ◽  
pp. 138 ◽  
Author(s):  
Ngoc Nguyen
Keyword(s):  
Commercial Banks ◽  
Banking Sector ◽  
Banking System ◽  
Transformation Model ◽  
Annual Reports ◽  
Bank Performance ◽  
Method Of Moment ◽  
Revenue Diversification ◽  
Interest Income ◽  
Using Data

In the future, when the process of economic integration in the banking sector is more powerful, and competitive, diversifying revenue is an inevitable and objective trend to help the banks increase profits, minimize risks and improve their competitive position in the system. The research is on the relationship between revenue diversification, risk and bank performance using data from audited financial statements and annual reports of 26 commercial banks listed and unlisted in Vietnam during the period 2010–2018. The research method uses Generalized Method of Moment (GMM) modeling techniques to solve endogenous problems, variance and autocorrelation in the research model. Research results show that diversification negatively impacts profitability and the higher the diversification, the higher the risk of commercial banks. However, the more diversified listed banks, the more increased the bank’s stability. The banks show the weakness and lack of experience of the banking system in developing a reasonable profit transformation model. The revenue diversification of banks is currently passive and moves slowly. Interest income is still the motivation of bank development, boosting profit growth. Growth, as well as the contribution from service activities, is not commensurate with potentials; although there are many positive points, they are not enough to cover risks from net interest income activities.

Determinants of Diffusion and Adoption of ATM cum Debit Cards in Indian Banking Sector

2019 ◽  
Vol 21 (5) ◽  
pp. 1263-1278
Author(s):  
Kamalpreet Kaur ◽  
Mandeep Kaur
Keyword(s):  
Public Sector ◽  
Market Share ◽  
Commercial Banks ◽  
Banking Sector ◽  
New Technology ◽  
Banking Services ◽  
Public Sector Banks ◽  
Interest Income ◽  
Automated Teller Machine ◽  
Debit Cards

Plastic cards are the neglected innovation as far as its research on diffusion and adoption from bankers’ perspective is concerned. The study emphasizes on the identification of factors which may have influenced the banks to adopt Automated Teller Machine (ATM) cum debit cards along with their traditional banking services. Bank-specific variables were investigated to deepen the understanding of the diffusion and adoption of ATM cum debit cards. The sample of the study is confined to 50 commercial banks, out of which 23 are private and 27 are public sector banks. The empirical findings reveal that size, non-interest income, non-performing assets, profitability, age and market share of the bank are the variables which have contributed significantly in the diffusion and adoption of ATM cum debit cards. The present study would serve as the roadmap for the regulators to frame policies and guidelines while introducing new technology in the industry, which are best suited to customers as well as bankers.

scholarly journals Determinants of Credit Risk: Evidence From Commercial Banks in Malaysia

2021 ◽  
Vol 16 (1) ◽  
pp. 134-143
Author(s):  
Noor Hafizha Muhamad Yusuf ◽  
Mohamad Shukery Mohamad Shamsudin ◽  
Wan Mohd Yaseer Mohd Abdoh ◽  
Noor Sharida Badri Shah ◽  
Rozihanim Shekh Zain
Keyword(s):  
Credit Risk ◽  
Significant Relationship ◽  
Commercial Banks ◽  
Fe Model ◽  
Panel Regression ◽  
Return On Equity ◽  
Factors Affecting ◽  
Independent Variables ◽  
Interest Income ◽  
The Relationship

The purpose of this study is to determine the relationship between microeconomic factors with credit risk among selected commercial banks in Malaysia. For this purpose, a sample of seven out of 27 commercial banks in Malaysia was selected and the microeconomic factors affecting credit risk with six measurements of return on asset (ROA), bank size, leverage, the ratio of capital, interest income and return on equity (ROE) were examined by applying Panel Regression Fixed Effect (FE) Model for a period 20 years from 1998 to 2017. The scope of the study covers seven selected commercial banks in Malaysia namely: Affin Bank Berhad, Alliance Bank Malaysia Berhad, CIMB Bank Berhad, Hong Leong Bank Berhad, Malayan Banking Berhad, Public Bank Berhad and RHB Bank Berhad. This study is using credit risk proxy by non-performing loan for dependent variable while independent variables that have been selected were returned on asset (ROA), bank size, leverage, the ratio of capital, interest income and return on equity (ROE). The findings of the study managed to reject the null hypothesis for return on asset, bank size, leverage, interest income and return on equity which indicates the five microeconomic variables give a significant relationship with credit risk. There are positive relationships between leverage, interest income and return on equity with credit risk while return on asset, bank size and ratio of capital are negatively related to credit risk. However, the study fails to find any significant relationship between the ratio of capital and credit risk for commercial banks in Malaysia.

scholarly journals Effect of Technology Based Financial Innovations on Non-Interest Income of Commercial Banks in Kenya

2018 ◽  
Vol 14 (7) ◽  
pp. 337
Author(s):  
L’souza Boniface Alubisia ◽  
Wainaina Githii ◽  
Mirie Mwangi
Keyword(s):  
Commercial Banks ◽  
Banking Sector ◽  
Financial Innovation ◽  
Mobile Banking ◽  
Financial Industry ◽  
Descriptive Research ◽  
Financial Innovations ◽  
Interest Income ◽  
Impact Of Technology ◽  
The Impact

Technology based financial innovation has had a great impact on the financial industry as a whole over the past few decades. It has presented the banking sector with an opportunity to increase the revenue base. This study intended to identify the impact of technology based financial innovation on non-interest income in Kenyan commercial banks. The study investigated how the adoption of ATMs and Cards, Internet and Mobile Banking and use of Funds Transfer Systems such as RTGS and EFT has impacted the non-interest income of commercial banks in Kenya. Descriptive research design was utilised. The study found that technology based financial innovation has significant effect on the non-interest income earned by commercial banks in Kenya. It recommends all stakeholders in commercial banks to take any investments made towards technology based financial innovation products as a strategy to improve non-interest income

scholarly journals Malmquist Productivity Index Approach in Assessing Performance of Commercial Banks: Evidence from Nepal

2019 ◽  
Vol 31 (2) ◽  
pp. 25-55
Author(s):  
Hari Prasad Pathak
Keyword(s):  
Total Factor Productivity ◽  
Ownership Structure ◽  
Commercial Banks ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Interest Income ◽  
Significant Difference ◽  
Constant Returns To Scale ◽  
Interest Expense

Using the DEA-based Malmquist total factor productivity index, this article measures the total factor productivity of Nepalese commercial banks during the period 2010-2011 to 2016-2017. It also examines whether the ownership structure and size of banks affect their efficiency. An input-oriented DEA model is used with aggregate panel data covering all the 28 commercial banks that are currently operating in Nepal. This article adopts constant returns to scale approach to measure and compare the efficiency and productivity of banks and to establish a benchmark for their performance. Interest expense, operating non-interest expense, deposits and labor are used as inputs variables and interest income, operating non-interest income and loan and advances as outputs variables. These data are extracted from the annual reports of the respective commercial banks. The mean efficiency score measured in terms of total factor productivity change resulted 1.008, which indicates that the efficiency level of Nepalese commercial banks has been increasing very slowly at the rate of 0.8% annually. Ownership structure of the banks influences marginally on the efficiency level of banks. The domestic private banks are relatively more efficient than the joint venture banks and the latter are comparatively more efficient than the public banks. The size of banks makes no significant difference in the efficiency level of banks.

Evaluating Loan Loss Provisioning for Non-Performing Loans and Its Impact on the Profitability of Commercial Banks in Bangladesh

2018 ◽  
Vol 2 (2) ◽  
pp. 33-41
Author(s):  
Fakir Tajul Islam
Keyword(s):  
Commercial Banks ◽  
Statistical Significance ◽  
Least Square ◽  
Business Success ◽  
Optimum Level ◽  
Loan Loss ◽  
Independent Variables ◽  
Loan Loss Provision ◽  
Interest Income ◽  
Dependent Variables

Through the collection and disbursement of money, banks often face the risk of default of the loan. These Non-Performing loans (NPLs) should be identified and cared for avoiding vulnerability to other risk. Banks may mitigate this risk using loan loss provisioning (LLP). Using the aggregate data of 56 commercial banks in the last 9 years (2009-2017), this study attempts to evaluate the Impacts of LLP maintained for NPLs on profitability, as it may help to take the level of the LLP, and NPLs in the optimum level of business success.  The dependent variables used in this study are Non-Interest Income to Total Assets and Net-Interest Income to Total Assets as a representative of the profitability of a bank. The dependent variables are analyzed using Least Square Multiple Regression on three independent variables, which were Gross NPL to Total Loans Outstanding, Loan Loss Provision Maintained, and Surplus/ (Shortfall) resulted from the required loan provisioning. The result showed that the profitability is very significantly influenced by the independent variables. NPLs and LLPs maintained by the commercial banks negatively related with the profitability of the business, especially LLPs shown statistical significance to impact on profitability negatively. it is better to take the LLPs and NPLs in the minimum level for maximum profitability of banks.

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