scholarly journals Financial Technology as Determinants of Bank Profitability

2021 ◽  
Vol 3 (2) ◽  
pp. 91-100
Author(s):  
Henny Medyawati ◽  
Muhamad Yunanto ◽  
Ega Hegarini

This study analyzes the influence of financial technology on the financial performance of banks listed on the Indonesia Stock Exchange (IDX) during the 2014-2020 period. Financial technology was measured by the number of Automated Teller Machine (ATM) transactions and internet and mobile banking, while bank profitability was measured by Return On Assets (ROA). Furthermore, this study used the panel data regression analysis, with the Automated Teller Machine (ATM) transactions as well as internet and mobile banking as the independent variables, and ROA as the dependent variable. Purposive sampling was used to select six banks as samples. The results showed the fixed effect as the most suitable model, where ROA is affected by the internet and mobile banking, while the TM technology has no effect.

2019 ◽  
Vol 3 (II) ◽  
pp. 293-304
Author(s):  
Maria Mueni Mutisya ◽  
Gerald Atheru

Information technology has changed the traditional ways of doing business to a digital and electronic way that has led to globalization. The banking industry has been forced by the wave of electronic payment system in the business environment to change from its traditional ways such as: long queues as customers waited to be served, delay in the clearing house as representatives of different banks waited to settle their dues and manual work that resulted to errors. The main purpose of the study was to determine the effect of electronic banking on the financial performance of commercial banks in Kenya. The specific objectives were to determine the extend of internet, mobile, automated teller machine and debit/credit card banking adoption and its effect on financial performance. The study covered a period of five years that is from the year 2011 to the year 2015 and adopted descriptive research design. The data collected was analyzed by the use of both descriptive and inferential statistics procedures. Primary and secondary data was collected from the 34 commercial banks that responded leading to a respond rate of 79.04% out of the 43 commercial banks. The trade analysis showed that internet banking was recognized and accepted by the Kenyan commercial banks and the Kenyans as a way of transacting. Electronic banking was found to be positive and significantly related to the financial performance of the commercial banks in Kenya. This was attributed by an R Square of 0.688 for Return On Assets, 0.63 for Net Profit and 0.277 for Return On Equity indicating that the independent variables in the study were able to give information of up to 68.8%, 63% and 27.7% respectively while the remaining 31.2%, 27% and 72.3% could not be explained in the study but could be explained using other variables outside the study. All the independent variables were (internet banking, Mobile banking, Automated Teller Machine banking and Debit/Credit banking) found to be positively and significantly related to the Return On Assets while only mobile banking and internet banking were found to be positively and significantly related to Net Profit since their p Values were less 0.05. Automated Teller Machine banking showed a positive relation that was insignificant with the Return On Equity.The study recommends that, electronic banking should be employed by commercial banks through proper management policies since it has shown improved efficiency and financial performance. For further studies, areas of crime technology, quality of banking services, electronic fund transfer and performing loans should be looked at. This is an open-access article published and distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License of United States unless otherwise stated. Access, citation and distribution of this article is allowed with full recognition of the authors and the source.


2020 ◽  
Vol 6 (2) ◽  
pp. 167
Author(s):  
Sanuri Sanuri ◽  
Desta Rizky Kusuma

This study aims to determine the influence of factors internal and external to the return of registered banking shares Indonesia Stock Exchange in 2010-2014. The population in this study were 4 BUMN bank companies registered in Indonesia Stock Exchange period 2010-2014 sampling techniques used is purposive sampling. obtained by 4 state-owned bank companies included in the independent variable criterion studied is Return On Assets (ROA), Capital Adequacy Ratio (CAR), Inflation Rate, and Rate of Interest Interest and the dependent variable studied is stock returns. Analysis Techniques used is Panel Data Regression and Hypothesis test using t-test. The results showed that both variables were simultaneously independent Return On Asset (ROA) has no effect on stock returns Partially the variables of the four independent variables are Return On Assets (ROA), Capital Adequacy Ratio (CAR), Inflation and Interest Rates are only Inflation and Interest rates that have a significant effect on stock returns. R-square value 33.42%.


2021 ◽  
Vol 6 (3) ◽  
pp. 1297
Author(s):  
Masno Marjohan

This study aims to analyze, test the effect of profitability as measured by Return On Assets, liquidity as measured by LDR on earnings management, and the impact of earnings management on firm value in state-owned tire companies listed on the Indonesia Stock Exchange from 2009 to 2019. Total population This research is 4 state-owned bank companies so that the entire population is sampled with a period of 10 years from 2009-2019. The analysis technique used in this research is panel data regression to obtain a comprehensive picture of the relationship between one variable and another. The results of the research partially show that ROA, LDR Profitability has no effect on Earning Management, Profitability and Liquidity simultaneously have an effect on Earnings Management, and show that earnings management affects Firm Value.


2017 ◽  
Vol 9 (1) ◽  
pp. 133
Author(s):  
Siti Nurhayati

Abstract.The study aims to examine the effect of Intellectual Capital on Market Performance and Financial Performance in the LQ45 companies. It uses the sample of LQ45 companies listed on Indonesia Stock Exchange during the period 2010-2013. The sample is determined by using Purposive Sampling method. The study conducts 72 observations of 18 samples of the companies. The hypothesis is tested using Panel Data Regression. The study indicates that the Intellectual Capital (VAIC) and VACA of companies significantly influence market performance (Tobins'Q) and financial performance of Return on Assets (ROA) and Assets Turnover (ATO). VAHU significantly effects on the financial performance of Return on Assets (ROA) and STVA significantly effects on the financial performance of Assets Turnover (ATO). Meanwhile, VAHU has no significant effect on the market performance (Tobins'Q) and financial performance of Assets Turnover (ATO). And STVA has no significant effect on the market performance (Tobins'Q) and financial performance of Return on Assets (ROA).Keywords: intellectual capital; lq45; market performance; financial performance; tobins'q; return on assets; assets turnover.Abstrak. Penelitian ini bertujuan untuk menguji pengaruh Intellectual Capital terhadap Kinerja Pasar dan Kinerja Keuangan pada Perusahaan LQ45.Penelitian ini menggunakan sampel perusahaan LQ45 yang terdaftar di Bursa Efek Indonesia selama periode 2010-2013.Sampel ditentukan dengan menggunakan metode Purposive Sampling.Penelitian ini memiliki 72 amatan dari 18 sampel perusahaan.Dalam penelitian ini, hipotesis diuji dengan menggunakan Regresi Data Panel. Penelitian menunjukkan bahwa Intellectual Capital (VAIC) dan VACA perusahaan berpengaruh signifikan terhadap kinerja pasar (Tobins’Q) dan kinerja keuangan Return on Asset (ROA) dan Assets Turnover (ATO). VAHU berpengaruh signifikan terhadap kinerja keuangan Return on Asset (ROA) dan STVA berpengaruh signifikan terhadap kinerja keuangan Assets Turnover (ATO). Sedangkan VAHU tidak berpengaruh signifikan terhadap kinerja pasar (Tobins’Q) dan kinerja keuangan Assets Turnover (ATO). Dan STVA tidak berpengaruh signifikan terhadap kinerja pasar (Tobins’Q) dan kinerja keuangan Return on Asset(ROA).Kata kunci: intellectual capital; perusahaan lq45; kinerja pasar;  kinerja keuangan, tobins’q; return on assets; assets turnover.


2020 ◽  
Vol 1 (1) ◽  
pp. 72-82
Author(s):  
Rizki Muhammad Siddiq ◽  
Setiawan Setiawan ◽  
Ade Ali Nurdin

In conducting this research which aims to find out from the influence of Loan to Deposit Ratio (LDR), Debt to Assets Ratio (DAR), and Return on Assets (ROA) to Earning per Share (EPS) in Commercial Banks listed on the IDX period 2008-2017. In this study the type of data used is secondary data, which is from financial statement data that has been published by the website on the Indonesia Stock Exchange and the website of each company that will be examined in the period 2008-2017. The total sample used in this study is four bank companies in the banking sub-sector that have been listed on the Indonesia Stock Exchange from 2008-2017. The technique that will be used in the way of sampling is by purposive sampling technique is a technique of determining samples with certain considerations. The analysis technique in this study uses panel data regression analysis using the Eviews 10 program tool.


2018 ◽  
Vol 8 (3) ◽  
pp. 640
Author(s):  
Zulkifli Z ◽  
Rispa Eliza

The study aims to prove empirically the determinants of the performance of the net interest margin (NIM) ratio of banks listed on the Indonesia Stock Exchange (IDX) during the period 2005-2015 using the fixed effect panel data regression method with eleven banks selected as research samples. The results of the study found that the NPL, LDR, ROA, SBI, and Exchange Rate ratio significantly affected the NIM ratio performance. From the variables that significantly influence, the exchange rate variable is the most dominant variable, while the NPL ratio variable is the variable with the smallest influence. All independent variables, which consist of; CAR, NPL, LDR, BOPO, ROA, SBI, inflation, and exchange rates simultaneously affected the ratio of banking NIMs listed on the Indonesia Stock Exchange (IDX) during the period 2005-2015 significantly. Individually, the bank with the most sensitivity to changes in the NIM ratio is Bank International Indonesia Tbk (BII), while the least sensitive is Bank Victoria Indonesia Tbk (BVI)


2019 ◽  
Vol 4 (1) ◽  
pp. 29-36
Author(s):  
Kimsen Kimsen ◽  
Imas Kismanah ◽  
Siti Masitoh

The purpose of this research is to know the influence of Return On Assets (ROA), Debt To Equity Ratio (DER), and Asset to Tax Avoidance (TA) partially and simultaneously in the sector of various Industri listed in Indonesia Stock Exchange (IDX). The research period used is five years from 2012 to 2016. The study population included all industry miscellaneous sectors listed in Indonesia Stock Exchange (IDX) period 2012 to 2016. Sampling technique used is purposive sampling technique. Based on the predetermined criteria, the sample size was 8 companies. The type of data used was secondary data obtained from the Indonesia Stock Exchange website. Data analysis method used was panel data regression analysis. The result of F-test and t-test showed return on assets had an effect on tax avoidance, while debt to equity ratio had a positive influence on tax avoidance.


2021 ◽  
Vol 9 (1) ◽  
pp. 138
Author(s):  
Arnoldus Hesron Bhoka ◽  
Sari Yuniarti ◽  
Mohammad Burhan

This paper examines the effect of bank lending on liquidity. We use the loan-to-deposit ratio as a proxy for liquidity and total loan as a proxy for bank lending. We also consider the measurement of liquidity with non-performing loans (NPL) and return on assets (ROA) as control variables. The sample used is the banks listed on the Indonesia Stock Exchange as many as 42 banks with a total of 184 observations from unbalanced panel data. The analysis used is panel data regression (generalized least squares) with random effects as the best estimation model. We find bank lending to have a positive effect on liquidity, especially for banks that go public. We argue that banks avoid bankruptcy by increasing the proportion of reserves to absorb risk. The results support the “risk absorption” hypothesis (Berger Bouwman, 2009). We also find that return on assets (ROA) has a significant effect on liquidity, but non-performing loans (NPL) have no significant effect on liquidity, proving that banks has managed their reserves by absorbing risk properly.


2020 ◽  
Vol 7 (1) ◽  
pp. 85-92
Author(s):  
Ali Jamaludin

This study aims to analyze the effect of Profitability (ROA), Leverage (LTDER), and Intensity of Fixed Assets Against Tax Avoidance. The population in this study were all food and beverage subsector companies listed on the Indonesia Stock Exchange (BEI) in 2015-2017, namely 18 companies. Data collection using purposive sampling method and based on predetermined criteria, the number of samples obtained were 12 food and beverage sub-sector manufacturing companies listed on the Stock Exchange during the 2015-2017 period. The data analysis method used is the panel data regression analysis method. The results showed that: 1) Profitability (Return On Assets) had a negative and not significant effect on Tax Avoidance, 2) Leverage (Long Term Debt to Equity Ratio) had no effect on Tax Avoidance, 3) CapitL Intensity had no effect on Tax Avoidance.


Author(s):  
Alfian Agus Putranto ◽  
Farida Titik Kristanti ◽  
Dewa Mahardika

ROA is used to measure the ability of the bank’s management in obtaining the overall profit of the total assets owned. This study aims to examine the influence of Capital Adequacy Ratio (CAR), Loan Deposit Ratio (LDR) and Non Performing Loan (NPL). Profitability is proxied by Return on Assets (ROA) in Commercial Bank listed on Indonesia Stock Exchange (BEI) in the period of 2011-2015. The population in this study are the commercial bank listed on the Stock Exchange. Sample selection technique used is purposive sampling and acquired 31 commercial banks with the 2011-2015 study period. Methods of data analysis is panel data regression analysis. The results showed that simultaneous Capital Adequacy Ratio (CAR), Loan Deposit Ratio (LDR) and Non Performing Loan (NPL) have a significant effect on profitability. While partially, Capital Adequacy Ratio (CAR) significant positive effect, Non Performing Loan (NPL) significant negative effect, while Loan Deposit Ratio (LDR) has no effect on profitability.


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