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 The double-edged sword of corporatisation in the hospital sector: evidence from Indonesia

2016 ◽  
Vol 12 (1) ◽  
pp. 61-80 ◽  
Author(s):  
Asri Maharani ◽  
Gindo Tampubolon
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Financial Performance ◽  
System Performance ◽  
Hospital Performance ◽  
Public Hospitals ◽  
Health System Performance ◽  
The Past ◽  
Panel Data Regression ◽  
Data Regression

AbstractHoping to improve their health system performance, many countries have corporatised their hospitals in the past 20 years. What this means for hospital performance remains as yet largely unknown. This study looks into the association of corporatisation and hospital performance in Indonesia. We apply panel data regression analysis to survey data on 54 public hospitals in East Java province. Our analysis suggests that corporatisation is associated with higher hospital income and expenditure, but fails to improve efficiency and equity. These findings suggest that hospital corporatisation policy in Indonesia should increase emphasis on efficiency and equity rather than on financial performance alone.

scholarly journals EXAMINATION OF THE EFFECT OF LOGISTICS FUNCTIONS ON FINANCIAL PERFORMANCE OF ORGANIZATION

2021 ◽  
Vol 8 (3) ◽  
pp. 18-26
Author(s):  
Boye AYANTOYINBO ◽  
Adeolu GBADEGESIN
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Financial Performance ◽  
Performance Indicators ◽  
Secondary Data ◽  
Manufacturing Companies ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Subject ◽  
Logistic Functions

The contributions of logistics functions to the performance of an organization have been the subject of research over the years. Thus, this present study further examined the effect of outbound logistics functions on financial performance of quoted manufacturing companies in Nigeria. Panel data regression analysis was employed to test the effect of logistics functions on financial performance of the selected companies over a period of five years (2015-2019). Logistic functions costs and financial performance indicators were extracted from secondary data.  The findings of the study showed that logistics function has a positive and significant effect on financial performance of manufacturing companies in Nigeria. Therefore, the companies are implored to pay more attention to logistics functions when aiming at a better financial performance.

scholarly journals Bad Loans of Public Sector Banks in India: A Panel Data Study

2019 ◽  
Vol 5 (1) ◽  
pp. 22-30
Author(s):  
Kandela Ramesh
Keyword(s):  
Public Sector ◽  
Panel Data ◽  
Financial Stability ◽  
Random Effect ◽  
Random Effect Model ◽  
Negative Relationship ◽  
Banking System ◽  
Capital Adequacy ◽  
Public Sector Banks ◽  
Bad Loans

The soundness of the banking system is necessary for economic advancement and financial stability. In the contemporary era, the Indian banking system has suffered from the accumulation of substantial non-performing assets (NPAs), especially in the public sector banks (PSBs). This article examines the financial determinants of bad loans in the Indian PSBs with the help of panel data regression analysis. Panel dataset of 21 Indian PSBs for eight years from 2010 to 2017 is used for the study. For analysis, net non-performing assets (NNPAs) as a dependent variable and financial indicators as independent variable are used. Using the random effect model, it is found that credit–deposit ratio, loan maturity, and return on assets have a negative relationship with NNPAs. These factors have an association with a lower level of NPAs. Operating expenses and capital adequacy ratio have an insignificant effect on NNPAs. On the other hand, factors such as priority sector loans, collateral values, and non-interest income have a positive impact on NNPAs. These factors are an indication of a higher level of bad loans and are adding to the accumulation of NPAs in PSBs.

scholarly journals Investigate the Effect of Ownership Diversity on Earnings Management of Listed Non-Financial Firms in Nigeria

2021 ◽  
pp. 57-65
Author(s):  
Ifeoma C. Nwakoby ◽  
Ogochukwu Okanya
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Earnings Management ◽  
Research Work ◽  
Secondary Data ◽  
Financial Firms ◽  
Panel Data Regression ◽  
Data Regression ◽  
Level Of Significance ◽  
Effect Test

The research work aims to investigate the effect of ownership diversity on earnings management of listed non-financial firms in Nigeria. Several reviewed works was revealed in the study of this work, specifically on earnings management and ownership diversity. The research founds that no literature has studied the effect of ownership diversity and earnings management of the listed non-financial firms in Nigeria. This research makes use of secondary data as its main source of data collection. The method of data analysis applied is Hausman effect test and panel data regression. The result shows that ownership diversity has positive and significant effect on earnings management of non-financial firms in Nigeria which was statistically significant at 1% level of significance.

scholarly journals ANALISA PENGARUH INTELLECTUAL CAPITAL TERHADAP KINERJA PASAR DAN KINERJA KEUANGAN PADA PERUSAHAAN LQ45 YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE TAHUN 2010-2013

2017 ◽  
Vol 9 (1) ◽  
pp. 133
Author(s):  
Siti Nurhayati
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Sampling Method ◽  
Stock Exchange ◽  
Market Performance ◽  
Return On Assets ◽  
Purposive Sampling ◽  
Panel Data Regression ◽  
Data Regression

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.

scholarly journals Pengaruh Struktur Modal, Likuiditas dan Ukuran Perusahaan terhadap Kinerja Keuangan Perusahaan

2020 ◽  
Vol 2 (4) ◽  
pp. 847
Author(s):  
Amelia Harsono ◽  
Ary Satria Pamungkas
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Financial Performance ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statement ◽  
Microsoft Excel ◽  
Purposive Sampling ◽  
Panel Data Regression ◽  
Data Regression

The purpose of this research is to analyze effect of capital structure, liquidity, and firm size on the firms financial performance listed on the Indonesia Stock Exchange (IDX). This research was analyzed using panel data regression with eighty-five companies in the 2014-2018 period, generate four hundred twenty-five data observations. The research used purposive sampling to get the sample. The data used is secondary data from company financial statement data that obtained from Indonesia Stock Exchange (IDX), then its tabulated using Microsoft Excel 2016 and analyzed using Eviews-10. The results of this study indicate that the size of the company affects the financial performance of the company. However, capital structure and liquidity do not affect the company's financial performance. Tujuan dari penelitian ini untuk melihat pengaruh struktur modal, likuiditas dan ukuran perusahaan terhadap kinerja keuangan perusahaan yang terdaftar pada Bursa Efek Indonesia (BEI). Penelitian ini di analisis menggunakan alat regresi data panel dengan delapan puluh lima perusahaan pada periode 2014-2018, menghasilkan empat ratus dua puluh lima data observasi. Teknik pengambilan sampel dalam penelitian ini menggunakan purposive sampling. Data yang digunakan berupa data sekunder yaitu laporan keuangan yang didapat dari Bursa Efek Indonesia (BEI), kemudian ditabulasi dengan Microsoft Excel 2016 dan dianalisis dengan menggunakan aplikasi Eviews 10. Hasil penelitian ini menunjukkan bahwa ukuran perusahaan berpengaruh pada kinerja keuangan perusahaan. Tetapi, struktur modal dan likuiditas tidak berpengaruh terhadap kinerja keuangan perusahaan.

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 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 Camel Research of Selected Private and Public Sector Banks in India

2019 ◽  
Vol 8 (12) ◽  
pp. 1237-1248
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Capital Adequacy ◽  
Public Sector Banks ◽  
The People ◽  
Start Up ◽  
Private And Public ◽  
Financial Growth ◽  
Earning Quality ◽  
Asset Quality

Banks are the mainstay of any country’s economic development. The money is stored in the bank, wherein the people are risk free of keeping money at home, and whenever required can take their money. The banks also help for any business growth or any start up business. And to meet all this peoples’ requirement and even gain profits, banks sees their financial growth and analyze as what to be done to meet the requirements. Even the people should know, whether the bank in which they have gone on their money is stable and can give back their money back when needed or when the bank fails to shut down due to unavailability of assets or loss which cannot be reclaimed. This report examines the execution of certain private and public sector banks. Five banks from private sector viz. ICICI, HDFC, Axis, YES, Kotak Mahindra and five banks from public sector viz. SBI, PNB, BOB, UBI and Canara bank were chosen for this analysis. The data were collected for a period from 2012-2013 to 2016-2017 (5 years). CAMEL analysis (Capital adequacy, Asset quality, Management efficiency, Earning quality, and Liquidity) was applied towards assessing the performance. Based on CAMEL rating, HDFC & AXIS Bank are considered as performing above average; whereas PNB & Canara Bank is seen as below average. Thus, it could be concluded that in all the parameters of the CAMEL Model and its sub-parameters, the performance of the private sector is found to be better than the public sector. .

scholarly journals PERAN EKSISTENSI SAHAM DI LQ45 PADA KINERJA PROFITABILITAS PERUSAHAAN

2019 ◽  
Vol 3 (1) ◽  
pp. 72-94
Author(s):  
Herman Karamoy ◽  
Hizkia H. D. Tasik
Keyword(s):  
Panel Data ◽  
Regression Model ◽  
Financial Performance ◽  
Random Effect ◽  
Previous Period ◽  
The Past ◽  
Percentage Points ◽  
Panel Data Regression ◽  
Data Regression ◽  
Net Profit

Many companies in Indonesia compete to improve the financial performance to be listed in LQ45 index. LQ45 index is the house of 45 stocks with high liquidity, big market capitalization and good financial performance. This paper aims to investigate whether the existence status of stocks in LQ45 index in the past affects the current profitability performance of the companies. This study relies on semesterly data from 19 companies dated from 2012 to 2015. Using panel data regression model of Net Profit Margin (NPM), the findings suggests that the existence of stocks in LQ45 index in previous period significantly affect the NPM. The results are robust and consistent across specifications either using fixed effect or random effect approaches. The magnitude ranges from 22,77 to 26,87 percentage points.

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