scholarly journals Emprical Analysis of Competition Dynamics in Turkish Banking via Competition Determination Approaches

2013 ◽  
Author(s):  
Utku Altunöz
Keyword(s):  
Panel Data ◽  
Market Structure ◽  
Banking Sector ◽  
Banking System ◽  
Regression Method ◽  
Competitive Behavior ◽  
Market Conditions ◽  
Business World ◽  
Panel Data Regression ◽  
Data Regression

Due to the complex and close interaction of banks with other economic units, any trouble in banking sector might have repercussion on the whole economy which makes the market structure and competition in banking sector as a cynosure. Business world is facing gradually increasing competition. It seems that the existence of firms depends on the power and the advantage of their competitiveness. The purpose of this study is to analyze the competition structure and the market conditions of Turkish banking system. despite the existence of a number of studies about competition in banking sector, there is still a lack of the studies which has been done with Lerner's Index. Due to this fact, Lerner’s Indeks is used in this study. Bank level determinants of Lerner Index is analysed using Panel Data Regression Method and was reached to factors effecting competitive behavior in Turkish Banking Sector.

scholarly journals Bank Specific and Macroeconomic Determinants of Bank Profitability

2016 ◽  
Vol 3 (2) ◽  
pp. 14-18
Author(s):  
Muhammad Ehsan Javaid
Keyword(s):  
Panel Data ◽  
Significant Relationship ◽  
Commercial Banks ◽  
Banking Sector ◽  
Random Effect ◽  
Macroeconomic Factors ◽  
Customer Base ◽  
Panel Data Regression ◽  
Data Regression ◽  
Macroeconomic Determinants

This study investigated the profitability of the banking sector in Pakistan. It evaluated the effects of both internal (bank-specific) and external (macroeconomic) factors on bank’s profitability from 2006 to 2013 period. The data of 34 commercial banks operating in Pakistan has collected. The data was balanced panel data and analyzed by random effect panel data regression analysis. Results confirmed that bank size and non-interest income had positive significant relationship on banking profitability. Deposit had negative significant relationship with banking profitability because of maintaining high liquidity, which increased cost of holding asset that ultimately, decrease profitability. As major participant, banks of Pakistan banking sector were small size banks so most important factor out of significant factors were income from non-interest facilities provided by these commercial banks. By increasing such facilities increased the bank’s customer base, which ultimately increased bank’s profitability. Macro-economic factors showed no significant effect on bank’s profitability.

scholarly journals THE EFFECT OF PROFITABILITY, CAPITAL STRUCTURE AND CORPORATE VALUES ON RETURN OF SHARES (TELECOMMUNICATIONS SUB SECTOR IN INDONESIA STOCK EXCHANGE 2014-2018)

2020 ◽  
Vol 1 (1) ◽  
pp. 69-77
Author(s):  
Asih Try Wulandari ◽  
Aty Herawati
Keyword(s):  
Panel Data ◽  
Stock Returns ◽  
Stock Return ◽  
Stock Exchange ◽  
Series Data ◽  
Annual Data ◽  
Business World ◽  
Telecommunications Sector ◽  
Panel Data Regression ◽  
Data Regression

The development of increasingly stringent business world in Indonesia will create an increasingly sharp competition between companies. Firms in the industry in Indonesia is a land for investors to invest capital to be invested in various forms of securities. So it is not wrong for the company's various aspects and types become part of the capital market. This study was conducted to determine the effect of ROE, DER and PBV to Stock Return on Telecommunications Sector Sub Listed in Indonesia Stock Exchange. This study uses annual data for the observation period from 2014 until 2018. The research type is descriptive causality. The data used is the data panel that is a combination of annual time series data and cross section were processed using panel data regression analysis. The population is all Sub-Sector Telecommunications listed in Indonesia Stock Exchange from 2014 until 2018 the number of 5 companies. The sampling technique used purposive sampling, found a sample of four companies with the observation of 5 years in order to obtain total observation as much as 20. Data were obtained from the Indonesia Stock Exchange, and Yahoo Finance. Analysis of the data in this study is panel data regression. The model used is the Common Effect Model. The analysis showed that the ROE does not have a significant effect on stock returns, DER has no significant effect on stock returns, while PBV positive and significant effect Stock Return on Telecommunications Sector Sub Listed in Indonesia Stock Exchange.

scholarly journals DETERMINANT OF CAPITAL RATIO: A PANEL DATA ANALYSIS ON STATE-OWNED BANKS IN INDONESIA

2014 ◽  
Vol 16 (4) ◽  
pp. 369-386 ◽  
Author(s):  
Pamuji Gesang Raharjo ◽  
Dedi Budiman Hakim ◽  
Adler Haymans Manurung ◽  
Tubagus Nur Ahmad Maulana
Keyword(s):  
Panel Data ◽  
Panel Data Analysis ◽  
Banking System ◽  
Interest Rate Risk ◽  
Management Capability ◽  
Panel Data Regression ◽  
Data Regression ◽  
Structure State ◽  
The Interest Rate

Capital plays important role to support the operational of the banks and to create a sound banking system in aggregate. For this reason, the banks are required to have a sufficient amount of capital, both to support its business expansion as well as a buffer to prevent and to absorb any unexpected losses. This paper analyzes determinants of capital ratio of the state-owned banks in Indonesia. Using panel data regression model, the result shows that the capital ratio of these state-owned banks is affected by the size of the bank, the bank’s leverage, the quality of management, and the interest rate risk. Contrary to the existing literatures, this paper does not support the effect of management capability to generate income on the bank’s capital ratio. Keywords: Capital structure, state-owned banks, panel estimation.JEL Classification: C23, G21, G32

scholarly journals Analisis Faktor-Faktor yang Memengaruhi Perolehan Surplus Underwriting pada Asuransi Jiwa Syariah di Indonesia (Periode 2015-2020)

Al-Muzara ah ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 185-196
Author(s):  
Amelia Nadiah Wahyu Putri ◽  
Jaenal Effendi
Keyword(s):  
Panel Data ◽  
Life Insurance ◽  
Public Interest ◽  
Regression Method ◽  
Insurance Company ◽  
The Public ◽  
Panel Data Regression ◽  
Data Regression ◽  
Reserve Fund ◽  
Islamic Insurance

In Islamic insurance, if at the end of the period there is a surplus from the substraction result between total insurance income in the tabarru’ fund and insurance expenses, the surplus will be called as underwriting surplus. A good Islamic insurance company can be seen when the company succeeds in obtaining an underwriting surplus, because it is a proof when the company has managed the participant funds well. The underwriting surplus can be used as a reserve fund when an underwriting deficit occurs or when insurance expenses exceed insurance income, thereby it can improve the public interest in Islamic insurance. Therefore, this study aims to analyze the development of the underwriting surplus in Islamic life insurance in Indonesia and the factors that influence it by using panel data regression method. The estimation results using the REM model show that the variables of total assets and GDP have a positive and significant effect. Meanwhile, the contribution allowance, claim allowance, and inflation variables have a negative and significant effect.

scholarly journals Support Vector Regression Implementation for Indonesian Private External Debt Analysis

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Zuherman Rustam ◽  
Janice Diani
Keyword(s):  
Machine Learning ◽  
Panel Data ◽  
Support Vector Regression ◽  
Balance Sheet ◽  
External Debt ◽  
Regression Method ◽  
Support Vector ◽  
Private Debt ◽  
Panel Data Regression ◽  
Data Regression

Indonesian corporations have been borrowing large sums of money from foreign investors in the past decade, such that private debt ratio has reached 49% of Indonesia’s total external debt by the end of 2017. This act of borrowing might improve the borrowing firms’ performance which leads to increase in profit, but in other hand it might result on debt value expansion, due to the exchange rate depreciation trend in Indonesia. This paper employs Support Vector Regression, a machine-learning method, to study the relationship between factors that might affect corporate performance, and compares the results with that of the conventional panel data regression method. The study was done using data from annual financial statements of 189 firms in Indonesia during 2011-2017. It is shown that the machine-learning approach discussed in this study gave better accuracy than the previously employed panel data regression method. Both methods generally showed that balance-sheet effect is more dominant in Indonesian corporations, and it is recommended for companies to minimize their foreign debts and imported purchases, and if possible, export more of their products.

scholarly journals How is Size Related to Profitability? Post-Consolidation Evidence from Selected Banks in Nigeria

2016 ◽  
Vol 5 (4) ◽  
pp. 30-38 ◽  
Author(s):  
Funso Kolapo ◽  
Lawrence Ajayi ◽  
Olufemi Aluko
Keyword(s):  
Panel Data ◽  
Firm Size ◽  
Negative Relationship ◽  
Regression Method ◽  
Return On Assets ◽  
Bank Profitability ◽  
Panel Data Regression ◽  
Data Regression ◽  
Firm Profitability ◽  
The Relationship

It is theoretically believed that increase in firm size would result to increase in firm profitability. Therefore, this study examines the relationship between size and profitability of six banks in Nigeria after the 2005 consolidation exercise. The measure of profitability is return on assets. Employing the static panel data regression method, the study found that size has an insignificant negative relationship with bank profitability. This study concludes that the 2005 consolidation exercise did not enhance the profitability of the selected banks.

scholarly journals The Determinant of Financial Performance of Indian Public Sector Banks- A Panel Data Approach

2020 ◽  
Vol 11 (5) ◽  
pp. 285
Author(s):  
Vikram Jeet ◽  
Parvesh Kumar Aspal
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Research Work ◽  
Banking System ◽  
Capital Adequacy ◽  
Public Sector Banks ◽  
Panel Data Regression ◽  
Data Regression ◽  
Earning Quality ◽  
Asset Quality

In the accelerated development of an economy, the role of a vibrant banking system and financial structure is considered as highly indispensable. The banking sector is recognized as an important element to portrait the financial and economic strength of a country. The economic importance of the banking system may be considered in the form of capital formation, inspiring innovation, monetization, and facilitator of monetary policy. The present research work investigates the association between banks' profitability and the banks’ specific factors of Indian Public Sector Banks. The research work is based on secondary data drawn from annual reports of banks from the period of 2015 to 2019. The panel data regression statistical technique has been employed to vindicate the influence of explanatory variables viz. Capital Adequacy, Human Capital, Liquidity, Management Efficiency, Asset Quality, and Earning Quality, which have been employed as independent variables and Return on Equity, as the dependent variable. Panel data regression model results have reported that the regression coefficients are found statistically significant and the high value of adjusted R- square expresses the overall best fit of the fixed effects model. A significant positive relationship has been found between the financial performance of bank (ROE) and human capital, liquidity, management efficiency, and asset quality. Whereas capital adequacy and earning quality of the banks have an insignificant impact on the profitability of banks. Hence, the financial performance evaluation enables the banks to analyze their financial strength and to follow necessary protective initiatives for its sustainability.

scholarly journals Student satisfaction assessment using Servqual approaches in receiving banking services

2020 ◽  
Vol 15 (3) ◽  
pp. 128-137
Author(s):  
Novi Primita Sari
Keyword(s):  
Student Satisfaction ◽  
Quantitative Data ◽  
Regression Method ◽  
Primary Data ◽  
Business World ◽  
Banking Services ◽  
Panel Data Regression ◽  
Data Regression ◽  
Service Activity ◽  
The University

Customer satisfaction is one of the important assessment indicators that cannot be ignored in every service activity, especially in the business world, which is centered on service activities, one of which is the banking world. In this study, we try to focus on assessing the satisfaction of banking services obtained by students of the University of Muhammadiyah Malang in the administration of lecture payments. This research is explanatory using quantitative data obtained with primary data through the distribution of questionnaires distributed to students who happen to be at the location and are conducting transactions. The sample used was 50 students taken accindental. By using the SERVQUAL approach and CARTER dimension methods to then be analyzed using the ordinary panel data regression method to find out which of the 6 dimensions have the most powerful influence on the assessment of service satisfaction obtained by students.

scholarly journals Determinants of Fiscal Stress in Central Sulawesi 2014-2018 Period

2020 ◽  
Vol 5 (2) ◽  
pp. 16
Author(s):  
Zakina Zein Al-Hadar ◽  
Mohamad Ichwan ◽  
Santi Yunus
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Regression Method ◽  
Domestic Product ◽  
Fiscal Stress ◽  
Panel Data Regression ◽  
Data Regression ◽  
Central Sulawesi

<p align="justify">This study aims to analyze the effect the Local-owned Source Revenue, Regional Expenditure and Gross Regional Domestic Product on Fiscal Stress in Regencies/Cities of Central Sulawesi Province Period 2014 – 2018. Data analysis was using panel data regression method. The results of this study indicated that simultaneously variable Local-owned Source Revenue (PAD), Regional Expenditure (BD), and Gross Regional Domestic Product (PDRB) had a significant effect on Fiscal Stress in Regencies/Cities of Central Sulawesi Province for 2014 – 2018 period.<strong> </strong>Partially, Local-owned Source Revenue variable (PAD) had reduced and significantly decreased Fiscal Stress in the Regency/Cities of Central Sulawesi Province period 2014-2018. Regional expenditure variable (BD) had increase and significantly affected Fiscal Stress in Regencies/ Cities of Central Sulawesi Province Period 2014 – 2018. While Gross Regional Domestic Product (PDRB) variable had increase and was insignificant to Fiscal Stress in Regencies/Cities of Central Sulawesi Province 2014 – 2018 period.</p>

scholarly journals NON-TARIFF MEASURES IMPACT ON INDONESIAN FISHERY EXPORT

2019 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Rossanto Dwi Handoyo
Keyword(s):  
European Union ◽  
Panel Data ◽  
South Korea ◽  
Regression Method ◽  
Trade Barriers ◽  
The European Union ◽  
Coverage Ratio ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

This study aims to analyze the impact of Non tariff measures using sanitary and phytosanitary policy (SPS) and technical trade barriers (TBTs) on fishery exports of Indonesia and its trading partner countries such as China, South Korea, Vietnam, Canada, Russia and the European Union in period of 2007 to 2016. SPS and TBT are measured using inventory approach in the form of coverage ratio. In addition, this study uses a gravity model and panel data regression method. The results of this study indicate that the variables GDP of exporting country and GDP of importing country have a positive and significant effect on Indonesian fishery exports. Distance and SPS have a negative and significant effect on Indonesian fishery exports, while TBT has no effect on Indonesian fishery exports.  Keywords: Export, SPS and TBT, Fishery Export, coverage ratio

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