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 PENGARUH STRUKTUR MODAL, UKURAN PERUSAHAAN, LIKUIDITAS TERHADAP KINERJA KEUANGAN YANG DIMODERASI INFLASI

2019 ◽  
Vol 2 (2) ◽  
pp. 483
Author(s):  
Cindhy Dahlia
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Financial Performance ◽  
Firm Size ◽  
Significant Positive Effect ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
The Relationship ◽  
Positive Effect

This study aims to obtain empirical evidence on the effect of capital structure, firm size, liquidity of financial performance and inflation as a moderating variable. The number of sample companies used in this study is 168 non financial companies period from 2012 to 2016. The results of this study indicate that on the capital structure have a significant negative effect of financial performance, firm size have a significant positive effect of financial performance, and liquidity have an non significant and positive effect of financial performance. Data were analyzed using panel data regression. Based on the analysis of regression panel data, we concluded that the inflation proved to have a pure moderating influence on the relationship between liquidity of the financial performance. Keyword: Capital Structure, Firm Size, Liquidity, Inflation, Financial performanceAbstrakPenelitian ini bertujuan untuk mendapatkan bukti empiris mengenai pengaruh struktur modal, ukuran perusahaan, likuiditas terhadap kinerja keuangan yang dimoderasi oleh inflasi. Jumlah sampel perusahaan yang digunakan dalam penelitian ini adalah 168 perusahaan non keuangan tahun 2012-2016. Hasil penelitian ini menunjukkan struktur modal berpengaruh negatif dan signifikan terhadap kinerja keuangan, ukuran perusahaan berpengaruh positif dan signifikan terhadap kinerja keuangan, likuiditas berpengaruh positif dan tidak signifikan terhadap kinerja keuangan. Data yang dianalisis menggunakan regresi data panel. Berdasarkan analisis regresi data panel, dapat disimpulkan bahwa inflasi sebagai variabel pure moderating antara pengaruh likuditas terhadap kinerja keuangan.Keyword: struktur modal, ukuran perusahaan, likuiditas, inflasi, kinerja keuangan

scholarly journals Pengaruh Inflasi, Produk Domestik Regional Bruto Dan Investasi Terhadap Pengangguran Terdidik Di Provinsi Aceh

2020 ◽  
Vol 9 (2) ◽  
pp. 26
Author(s):  
Linda Wahyuni ◽  
Murtala Murtala
Keyword(s):  
Panel Data ◽  
Regression Method ◽  
Panel Data Regression ◽  
Data Regression ◽  
Aceh Province ◽  
Independent Variable ◽  
The Government ◽  
The Relationship

This study aims to analyze the effect of inflation, GDP, and investment on educated unemployment in Aceh province from 2008 to 2018. The data used in this study are Panel data. The method used to analyze the relationship between the independent variable and the dependent variable is the panel data regression method. The results partially show that inflation has a positive and significant effect on educated unemployment in the Government of Aceh Province, PDRB has a positive and significant effect on educated unemployment in the Government of Aceh Province, and Investment has a negative and significant effect on educated unemployment in the Government of Aceh Province. Simultaneously, Inflation, GRDP, and Investment have a negative and significant effect on Educated Unemployment in the Government of Aceh Province

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.  

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 Idiosyncratic Risk and Firm Characteristics on Islamic Stocks of Four Asean Countries 2005–2017

2021 ◽  
Vol 21 (3) ◽  
pp. 1226-1238
Author(s):  
Putri Utami ◽  
Muhammad Budi Prasetyo
Keyword(s):  
Panel Data ◽  
Global Financial Crisis ◽  
The United States ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
Firm Characteristics ◽  
Panel Data Regression ◽  
Data Regression ◽  
Asean Countries ◽  
The Relationship

This research investigates idiosyncratic volatility in the Islamic stock of four ASEAN countries, namely Indonesia, Malaysia, Singapore, and Thailand for 2005–2017. The volatility will be analyzed based on the idiosyncratic volatility levels of each country. Furthermore, firm characteristics will be used to determine their relationship to the idiosyncratic volatility movement. This study used the Fama-French Three-Factor model for obtaining the realized value of idiosyncratic volatility. Furthermore, a panel data regression is used to estimate the relationship between firm characteristics and idiosyncratic volatility. The results of this research suggest that mean value of idiosyncratic risk in the Islamic stock of ASEAN countries is below the non-Islamic stock in the United States but above non-Islamic stock in Hong Kong. Meanwhile, after the global financial crisis of 2008, the relationship between return and idiosyncratic risk of Islamic stock changed in all four countries. Panel data regression of firm characteristics shows that firm size is significantly negative in all four countries, while share turnover is insignificant to idiosyncratic volatility.

scholarly journals Effect of Default on Profitability in Kenyan Listed Companies

2020 ◽  
Vol 9 (4) ◽  
pp. 01-10
Author(s):  
James N Ndegwa
Keyword(s):  
Regression Analysis ◽  
Financial Institutions ◽  
Listed Companies ◽  
Short Term ◽  
Listed Firms ◽  
Short Notice ◽  
Panel Data Regression ◽  
Data Regression ◽  
Firm Profitability ◽  
The Relationship

The study investigated the whether the default measures of liquidity and solvency are associated and whether default measures are related to firm profitability. A total of 41 firms were selected to be in the study sample out of 46 non-financial listed firms in the Nairobi Securities Exchange during years 2013 to 2017 and panel data regression analysis was employed. The findings revealed that liquidity and solvency are significantly and negatively associated while the default measures lacked a significant relationship with profitability in Kenyan listed companies. The findings implied that there is no need for firms to focus too much on the relationship between default and profitability including invest heavily in liquidity in order to meet short term obligations as nowadays it is possible for firms to either convert non-cash assets quickly or borrow on short notice from financial institutions in case of an urgent need to meet liquidity shortages. These findings are consistent with the shitability theory.

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 Effect of Firm Size Firm Growth Firm Age and Independent Commissioner on Intellectual Capital Disclosure in Banking Companies Listed on the Indonesia Stock Exchange in the period 2014 – 2018

Academia Open ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Lailatul Khosi'ah ◽  
Sriyono
Keyword(s):  
Panel Data ◽  
Firm Size ◽  
Intellectual Capital ◽  
Firm Growth ◽  
Stock Exchange ◽  
Financial Statements ◽  
Firm Age ◽  
Panel Data Regression ◽  
Data Regression ◽  
Size Firm

The purpose of the study was to determine and analyze the effect of Firm Size, Firm Growth, Firm Age and Independent Commissioner on Intellectual Capital Disclousure partially and simultaneously to determine a model that can be used to measure Intellectual Capital Disclousure in companies by using panel data regression in Registered Banking companies on the Indonesia Stock Exchange. This study applies quantitative method and the object of this research is done by population and sample randomly (purposive sampling), which are 11 consumer goods companies that were Listed on the Indonesia Stock Exchange in the period 2014 - 2018. The technique of collecting data used annual financial statements from the period 2014 - 2018 and analysis used panel data regression method with common model approach using Eviews 9 program.The results of this study showed that simultaneously and partially variables Firm Size, Firm Growth, Firm Age and Independent Commissioner have a significant effect on Intellectual Capital Disclousure

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 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).

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