scholarly journals Fundamental Factors and Islamic Stock Returns of Food and Beverage Companies in Indonesia

2020 ◽  
Vol 11 (1) ◽  
pp. 29-42
Author(s):  
Siti Amaroh ◽  
Siti Mudrikatuz Zahro ◽  
Masturin Masturin
Keyword(s):  
Panel Data ◽  
Regression Model ◽  
Stock Returns ◽  
Random Effect ◽  
Sample Selection ◽  
Stock Index ◽  
Lagrangian Multiplier ◽  
Panel Data Regression ◽  
Data Regression ◽  
Food And Beverage

This study examines the influence of issuers’ fundamental factors on Islamic stock returns in Indonesia. It is documentary research with data from company financial reports in the food and beverage industry. The companies were listed on the Indonesia Sharia Stock Index during 2015-2019. The sample selection was based on purposive sampling. The selected companies continuously published financial statements and had no negative earning per share. Based on the inclusion criteria, nine consistent firms were entered in data processing by Eviews software through several stages. The first stage involved determining the panel data regression model with common, fixed, and random effect models. The second stage was the selection of the fit model using 3 tests, including Chow, Lagrangian Multiplier, and Classic Assumption. The common effect was the fit panel data regression model. The results show that Return on Assets positively influences Islamic stock returns. However, Debt to Equity Ratio and Earning per Share do not affect Islamic Stock returns. Therefore, investors should pay attention to ROA before investing in Islamic capital market.   

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 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 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 Financial Ratios and Share Prices of JII70 Indexed Companies for the 2018-2020 Period

2021 ◽  
Vol 6 (1) ◽  
pp. 23
Author(s):  
Ahmad Fauzan ◽  
Rindang Matoati
Keyword(s):  
Panel Data ◽  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Share Price ◽  
Stock Index ◽  
Financial Ratios ◽  
Financial Ratio ◽  
Panel Data Regression ◽  
Data Regression

  Abstract: The sharia capital market in Indonesia has grown over the last five years. One of the members of the sharia capital market instrument is sharia shares. During the 2015-2020 period, the number of Islamic stock issuers continued to grow. The stock index is used by investors as a tool to choose stocks that suit their needs. IDX has issued three sharia stock indexes, and the most recent one is the JII70 index. A stock index is a collection of statistics about the price movement of a group of stocks that is evaluated periodically. One of the many factors that influence stock prices is the company's financial ratios. This study aims to analyze the influence of financial ratio factors such as Current Ratio (CR), Debt to Equity Ratio (DER), Total Assets Turnover (TATO), Return on Equity (ROE) and Earning per Share (EPS) on the stock price of JII70 indexed companies. The data used is secondary data in the form of JII70 indexed company financial statements in the 2018-2020 period. The method of determining the sample using purposive sampling. This research uses panel data regression analysis method. The results of this study show a significant effect of the DER and EPS variables on stock prices, while the CR, TATO and ROE variables do not significantly affect stock prices.Keywords: Share Price, JII70, Financial Ratio, Panel Data Regression, Sharia Shares

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.

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