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.

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 Analisis Faktor-Faktor yang Mempengaruhi Jumlah Penduduk di Kota Semarang Menggunakan Metode Regresi Data Panel

2019 ◽  
Vol 12 (2) ◽  
pp. 36-41
Author(s):  
Prizka rismawati Arum
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Geographical Area ◽  
Random Effect Model ◽  
Factors Affecting ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship ◽  
Number Of Births

Residents are all people who live in the geographical area of Indonesia for six months or more and or those who have been domiciled for less than six months but aim to settle. Population growth is caused by two components, namely: fertility and mortality. To find out how big the relationship between the  population and the number of births and deaths in each sub-district of Semarang, must observed in several specific time periods and places at once. So in this study, the panel data regression method was used. In panel data regression testing, the results show that the panel data regression model formed to determine the factors that influence the level of population is the random effect model. In this model all assumptions are fulfilled. Significant factors affecting population are number of births. Births and deaths affect the population of 99.95% and the remaining 0.05% is influenced by other factors not examined Penduduk adalah semua orang yang berdomisili di wilayah geografis Indonesia selama enam bulan atau lebih dan atau mereka yang berdomisili kurang dari enam bulan tetapi bertujuan menetap. Pertumbuhan penduduk diakibatkan oleh dua komponen yaitu: fertilitas dan mortalitas. Untuk mengetahui seberapa besar keterkaitan antara jumlah penduduk dengan jumlah kelahiran dan kematian di setiap kecamataan Kota Semarang, harus diamati dalam beberapa periode waktu tertentu dan beberapa tempat secara bersamaan. Sehingga dalam penelitian ini digunakan metode regresi data panel. Dalam pengujian regresi data panel, didapatkan hasil bahwa Model regresi data panel yang terbentuk untuk mengetahui faktor-faktor yang mempengaruhi tingkat jumlah penduduk adalah model random Effect. Pada model tersebut semua asumsi terpenuhi. Faktor yang signifikan mempengaruhi jumlah penduduk adalah jumlah kelahiran. Kelahiran dan kematian mempengaruhi jumlah penduduk sebesar 99.95% dan sisanya sebesar 0.05% dipengaruhi oleh faktor- faktor lain yang tidak di teliti.    

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 Capital Structure of Companies Listed at the Warsaw Stock Exchange and the COVID-19 Pandemic Effect on Their Risk

2021 ◽  
Vol 4 (32) ◽  
pp. 153-166
Author(s):  
Jerzy Gajdka ◽  
Marek Szymański
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Financial Management ◽  
Stock Exchange ◽  
Idiosyncratic Risk ◽  
Total Risk ◽  
Panel Data Regression ◽  
Data Regression ◽  
Warsaw Stock Exchange ◽  
The Relationship

Subject: The financial management of companies is examined in the context of the COVID-19 pandemic. Specifically, the relationship between their capital structure and risk changes during the pandemic is scrutinised. The purpose of the article: To determine how companies’ total, systematic and idiosyncratic risks changed during the COVID-19 pandemic depending on their capital structure based on a sample of organisations listed at the Warsaw Stock Exchange. Methodology: The study involves the use of a panel data regression model. Results of the research: The COVID-19 pandemic had an impact on the risk of overleveraged companies and underleveraged ones alike. Its influence on their total risk was weaker among the underleveraged organisations. Regarding systematic risk, its levels did not generally change significantly in the wake of the pandemic, but idiosyncratic risk, only in the case of the overleveraged companies increased statistically significantly.

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 Regresi Data Panel untuk Mengetahui Faktor-Faktor yang Mempengaruhi PDRB di Provinsi DIY Tahun 2011-2015

2019 ◽  
Vol 2 (1) ◽  
pp. 42
Author(s):  
Dea Aulia Nandita ◽  
Lalu Bayu Alamsyah ◽  
Enggar Prima Jati ◽  
Edy Widodo
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Secondary Data ◽  
Least Square ◽  
Domestic Product ◽  
Data Series ◽  
Population Number ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression

<p>Population growth can encourage and hinder economic growth. This study aims to analyze the factors that influence gross domestic product (GDP) in Daerah Istimewa Yogyakarta (DIY) using panel data regression. This study uses three independent variables, namely number of population, number of poor population, and investment, while the dependent variable is GDP. We use secondary data obtained from Badan Pusat Statistik (BPS). The results obtained from the regression analysis of the data series time panel are generalized least square (GLS), while for the cross section data panel shows the REM model is more suitable than PLS and FEM. Based on the validity test of the influence or t-test, the variable that shows significant to the economic rate which is categorized as GRDP in the Daerah Istimewa Yogyakarta in 2011-2015 is the variable Total population and Investment which has a positive relationship.</p><p><strong>Keywords</strong><strong> : </strong>economic growth rate, panel data regression, gross regional domestic product</p>

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.

scholarly journals ANALISIS REGRESI UNTUK DATA PANEL PADA PEMODELAN TINGKAT KEMATIAN IBU DI PROVINSI SULAWESI SELATAN

2020 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Muhammad Imran Rahman ◽  
Muhammad Nusrang ◽  
S. Sudarmin
Keyword(s):  
Parameter Estimation ◽  
Panel Data ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
South Sulawesi ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Abstrak. Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian ibu di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2016. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian ibu, perdarahan, hipertensi dalam kehamilan, infeksi dan gangguan sistem peredaran darah di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. 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 dengan nilai 𝑅2 = 90%. Adapun peubahpeubah yang berpengaruh signifikan terhadap kematian ibu adalah perdarahan, hipertensi dalam kehamilan dan infeksi. Dari hasil analisis diperoleh juga daerah yang memiliki jumlah kematian ibu terbesar di Provinsi Sulawesi Selatan tahun 2014-2016 adalah Bone dan Jeneponto.Kata Kunci: Regresi data Panel, Angka Kematian Ibu, Fixed Effect Model, Least Square Dummy Variable.Abstract. This research discusses about parameter estimation of panel data regression model of mother mortality level modelling in South Sulawesi from 2014 to 2016. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of mother mortality, bleeding, infection, circulatory system disorders and metabolic disorders in the whole district/town in South Sulawesi year 2014-2016. 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 with value of 𝑅2 = 90%. The variables that significantly influence maternal mortality are bleeding, hypertension in pregnancy and infection. From the results of the analysis, it was also found that the regions that had the largest number of maternal deaths in South Sulawesi Province in 2014-2016 were Bone and Jeneponto.Keywords: Panel Data Regression, Mother Mortality Rate, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals The Effect of Capital Structure on Profitability: An Empirical Panel Data Study

2019 ◽  
Vol 8 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Narinder Pal Singh ◽  
Mahima Bagga
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Fixed Effects ◽  
Regression Models ◽  
Positive Impact ◽  
Stock Exchange ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Individual ◽  
The Relationship

One of the most perplexing issues faced by finance managers is to know about the effect of capital structure on the profitability of firm. Many studies have been carried out to examine the effect of capital structure on the profitability of firms, but most of them belong to other parts of the world, and only few studies have been conducted in India. Thus, the present study has been undertaken to evaluate the effect of capital structure on the profitability of Nifty 50 companies listed on National Stock Exchange of India from 2008 – 2017. The data has been analyzed by using descriptive statistics, correlation and multiple panel data regression models. Four different regression models have been used to study the relationship between capital structure and profitability. In these models, we study the individual effect of total debt and total equity ratios on profitability, that is, ROA and ROE. All four models have been tested with pooled OLS, fixed effects, and random effects. We conclude that there is significant positive impact of capital structure on firm’s profitability.

scholarly journals Pengaruh Struktur Modal, Profitabilitas, Rasio Aktivitas Terhadap Nilai Perusahaan

2021 ◽  
Vol 3 (1) ◽  
pp. 34
Author(s):  
Della Noviyanti ◽  
Herman Ruslim
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Activity Ratio ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Financial Statements ◽  
Panel Data Regression ◽  
Data Regression ◽  
Activity Ratios

The purpose of this study is to look at the effect of capital structure, profitability, activity ratio (TATO) on the value of companies listed on the Indonesia Stock Exchange (IDX). This study was analyzed using a panel data regression tool with 21 companies in the 2014-2019 period, producing 126 data observation. The sampling technique in this study used purposive sampling. The data used in the form of secondary data, namely financial statements. Data processing using the application e-views 11. The results of this study indicate that profitability and activity ratios (TATO) significantly influence the value of the company. However, capital structure has no significant effect on firm value.Tujuan dari penelitian ini untuk melihat pengaruh struktur modal, profitabilitas, rasio aktivitas (TATO) terhadap nilai perusahaan yang terdaftar pada Bursa Efek Indonesia (BEI).Penelitian ini dianalisis menggunakan alat regresi data panel dengan 21 perusahaan pada periode 2014-2019, menghasilkan 126 data observasi. Teknik pengambilan sampel dalam penelitian ini menggunakan purpossive sampling. Data yang digunakan berupa data sekunder yaitu laporan keuangan.Pengolahan data menggunakan aplikasi e-views 11. Hasil penelitian ini menunjukkan bahwa profitabilitas dan rasio aktivitas (TATO) berpengaruh secara signifikan terhadap nilai perusahaan. Tetapi, struktur modal berpengaruh tidak signifikan terhadap nilai perusahaan.

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