Determinants Of Capital Structure For Multinational And Domestic Companies In India: Panel Data Regression Model

2019 ◽  
Vol 118 (7) ◽  
pp. 147-154
Author(s):  
K. Maheswari ◽  
Dr. J. Gayathri ◽  
Dr. M. Babu ◽  
Dr.G. Indhumathi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Regression Model ◽  
Business Risk ◽  
Return On Assets ◽  
Panel Data Regression ◽  
Data Regression ◽  
Return On Capital ◽  
Domestic Companies ◽  
The Capital Structure

The capital structure refers to the components of capital needed to establish and expand its business activities. The study was made with an objective to examine the determinants of capital structure of multinational and domestic companies listed in S&P BSE automobile sector. The study concluded that there is significant impact on capital structure determinants such as size, business risk, non debt shield tax, return on assets, tangibility, profit, return on capital employed and liquidity on the capital structure of multinational and domestic companies of Indian Automobile Sector.  

scholarly journals Faktor-Faktor yang Mempengaruhi Struktur Modal pada Perusahaan Pertambangan di Bursa Efek Indonesia Periode 2015-2018

2020 ◽  
Vol 4 (1) ◽  
pp. 224
Author(s):  
Nurul Aryanti ◽  
Riana Rachmawati Dewi ◽  
Purnama Siddi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Stock Exchange ◽  
Sample Selection ◽  
Company Size ◽  
Test Results ◽  
Panel Data Regression ◽  
Data Regression ◽  
Regression Test ◽  
The Capital Structure

This study examines and analyzes the factors that influence capital structure.  Independent variables in this study are company size, liquidity, profitability and asset structure.  The population in this study are mining companies listed on the Indonesia Stock Exchange for the 2015-2018 period.  The sample selection technique uses purposive sampling and 12 company samples are obtained within a period of 4 years so that 48 company samples are obtained.  The data analysis method used in this study is panel data regression.  Hypothesis testing is done using the t test and the F test. The panel data regression test results show that simultaneously company size, liquidity, profitability and asset structure have an influence on capital structure.  While partially the variables that significantly influence the capital structure are company size.  While the liquidity, profitability and asset structure variables do not significantly affect the capital structure.

scholarly journals The Effect of Capital Structure on Firms’ Profitability (Evidenced from Ethiopian)

2016 ◽  
Author(s):  
Tariku Negasa
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Regression Model ◽  
Random Effect ◽  
Secondary Data ◽  
Manufacturing Firms ◽  
Least Square ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship

This study was aimed to investigate the effect of capital structure on firms’ profitability with special emphasis on Ethiopian Large Private Manufacturing Firms using panel data of five consecutive years (2006/07-2010/11G.C). The secondary data sources (audited financial statements) have been collected from the randomly selected thirty three large private manufacturing firms in Ethiopia. Linear regression model has been employed to analyze the relationship between firms’ profitability and capital structure. Specifically, Random-effect Generalized Least Square of panel data regression model has been selected to empirically test the literature driven hypotheses. Finally, the findings of this study revealed that a significant positive relationship between firms’ profitability and total debt ratio which indicate firm’s capital structure.

FAKTOR DETERMINAN PEMBENTUK STRUKTUR MODAL PADA PERUSAHAAN SEKTOR FARMASI PERIODE 2012 - 2016

2017 ◽  
Vol 2 ◽  
pp. 241-250
Author(s):  
Neng Ria Kanita ◽  
Hendryadi Hendryadi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Firm Size ◽  
Stock Exchange ◽  
Pharmaceutical Manufacturing ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Panel Data Regression ◽  
Data Regression ◽  
Partial Effects

This study aims to examine the simultaneous and partial effects of profitability, liquidity, and firm size on capital structure. The sample is 10 pharmaceutical manufacturing companies listed in Indonesia Stock Exchange period 2012-2016, using purposive sampling. The technique of analysis used is panel data regression (pooled regression). The results showed that the selected model is the fixed effect. Simultaneously NPM, CR, and Firm Size have a significant effect on capital structure. Partially NPM has a negative and significant effect on capital structure. CR partially have a negative and not significant effect on capital structure. Partially Firm Size have a positive and significant effect on capital structure. Variables that have a significant effect on capital structure are NPM and Firm Size. While CR does not significantly affect the capital structure. Keywords: Capital Structure, Profitability, Liquidity, Firm Size

scholarly journals Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah
Keyword(s):  
Panel Data ◽  
Infant Mortality ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals PENGARUH TINGKAT KESEHATAN BANK TERHADAP ROA dan ROE BANK UMUM SYARIAH PERIODE 2012-2018

2021 ◽  
Vol 8 (2) ◽  
pp. 127
Author(s):  
Ma'shumatul Kurnia ◽  
Dian Filianti
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Lagrange Multiplier ◽  
Return On Assets ◽  
Return On Equity ◽  
Purposive Sampling ◽  
Significant Negative Effect ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

ABSTRAKPenelitian ini bertujuan untuk mengetahui kesehatan perbankan yang diwakili oleh GCG, CSR, FDR, dan BOPO terhadap return on assets (ROA), dan return on equity (ROE) BUS periode 2012-2018. Data yang digunakan adalah data tahunan yang diperoleh dari website resmi masing-masing sampel Bank Umum Syariah. Pemilihan sampel menggunakan metode purposive sampling. Metode penelitian ini menggunakan dua kali analisis regresi data panel dengan pemilihan model regresi data panel yang tepat melalui 3 uji yaitu uji chow, uji hausman, dan uji lagrange multiplier. Hasil penelitian pada analisis regresi pertama menunjukkan bahwa variabel GCG, CSR, dan FDR tidak berpengaruh signifikan terhadap ROA, sedangkan variabel BOPO berpengaruh negatif signifikan terhadap ROA. Kemudian pada analisis regresi kedua menunjukkan bahwa variabel GCG dan FDR tidak berpengaruh signifikan terhadap ROE, variabel CSR dan BOPO berpengaruh negatif signifikan terhadap ROE. Sedangkan secara simultan (bersama-sama) variabel GCG, CSR, FDR dan BOPO berpengaruh signifikan terhadap profitabilitas Bank Umum SyariahKata Kunci: Tingkat Kesehatan Bank, CSR, BOPO, Profitabilitas. ABSTRACTThis study aims to determine the health of banking represented by the GCG, CSR, FDR, and BOPO on return on assets (ROA), dan return on equity (ROE) BUS for the period 2012-2018. The data used was annual data obtained from the official website of each sample of the Syariah Commercial Bank. The sample selection used a purposive sampling method, where there were 5 samples. This research method used two-panel data regression analysis by selecting the right panel data regression model through 3 tests, namely chow test, Hausman test, and Lagrange multiplier test.  The results of the research in the first regression analysis showed that the GCG, CSR, and FDR variables had no significant effect on ROA, while the BOPO variable had a significant negative effect on ROA. Then the second regression analysis shows that the GCG and FDR variables do not have a significant effect on ROE, the CSR and BOPO variables have a significant negative effect on ROE. Meanwhile, simultaneously (together) the GCG, CSR, FDR and BOPO variables have a significant effect on the profitability of Islamic Commercial Banks.Keywords: Bank Health Level, CSR, BOPO, Profitability.

scholarly journals DETERMINAN INDEKS KEBAHAGIAAN DI INDONESIA

2021 ◽  
Vol 7 (2) ◽  
pp. 34
Author(s):  
Imawan Azhar Ben Atasoge
Keyword(s):  
Panel Data ◽  
Regression Model ◽  
Gini Index ◽  
Well Being ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Subjective States

ABSTRAK  Tolok ukur untuk melihat kemakmuran sebuah Negara dapat dilihat dari GDP yang ada di negara tersebut. Ukuran kesejahteraan tidak hanya diukur berdasarkan substansi akan tetapi diukur berdasarkan keadaan subjektif atau kebahagiaan. Tujuan dari penelitian ini ialah mengetahui faktor yang mempengaruhi kebahagiaan di Indonesia periode 2014 dan 2017. Analisis yang digunakan yaitu model regresi data panel. Penelitian ini menunjukkan bahwa variabel pendidikan, kesehatan, indeks gini serta zis berpengaruh secara terhadap kebahagiaan di Indonesia. Sedangkan variabel PDRB per kapita, kemiskinan, dan Indeks Demokrasi. Kata Kunci: Indeks Kebahagiaan, IPM, Kemiskinan, Indeks Gini, Zakat, Indeks Demokrasi ABSTRACTThe benchmark for seeing the prosperity of a country can be seen from the GDP in that country. The measure of well-being is not only measured based on substance but is measured based on subjective states or happiness. The purpose of this study is to determine the factors that influence happiness in Indonesia for the period 2014 and 2017. The analysis used is a panel data regression model. This study shows that the variables of education, health, Gini index and zis have a significant effect on happiness in Indonesia. While the variables are per capita GRDP, poverty, and the Democracy Index.Keywords: Happiness Index, HDI, Poverty, Gini Index, Zakat, Democracy Index

scholarly journals Analisis Pengaruh Tingkat Inflasi Dan Tingkat Bagi Hasil Terhadap Profitabilitas Pada Bank Umum Syariah Di Indonesia

2021 ◽  
Vol 9 (2) ◽  
pp. 121-130
Author(s):  
Destiana Dwi Nita ◽  
Muhammad Ariffin ◽  
Neni Nurisniani
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Inflation Rate ◽  
Regression Coefficient ◽  
Secondary Data ◽  
Profit Sharing ◽  
Series Data ◽  
Return On Assets ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the effect of Inflation Rate and Profit Sharing Rate on Sharia Commercial Bank Profitability in Indonesia. The independent variable (independent) in this study is the level of inflation and the level of profit sharing, while profitability is the dependent variable. In this study, researchers used Return on Assets (ROA) as an indicator for profitability. The method used is descriptive method and verification method. The data used are secondary data sourced from Financial Statements that have been published by Bank Muamalat Indonesia, Bank Rakyat Indonesia (BRI) Syariah, Bank Bukopin Syariah, Bank Negara Indonesia (BNI) Syariah, and Bank Central Asia (BCA) Syariah. The data analysis technique used is panel data regression analysis and classic assumption test, because the data used are secondary data and the type of data used is a combination of cross section data and time series data. Data processing techniques using the help of Eviews 9 program. Based on data analysis that has been done using panel data regression and classical assumption tests, it is found that the Inflation Rate has a negative and significant effect on Return on Assets (ROA), this result is evidenced by the significance value of 0,0012 and the regression coefficient shows a figure of -0,0817. Level of Profit Sharing is positive and significant effect, this result is evidenced by the significance value of 0.0000 and the regression coefficient shows a figure of 0,1644. The coefficient of determination (R-square) value is 77,26%.   Keywords: Inflation Rate, Profit Sharing Rate, Return on Assets (ROA).

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.

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