Relationship between ownership concentration and financial performance of deposit money banks in Nigeria: Does a turning point exist?

2019 ◽  
Vol 7 (2) ◽  
pp. 32 ◽  
Author(s):  
Junaidu Muhammad Kurawa ◽  
Umar Habibu Umar
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Linear Relationship ◽  
Turning Point ◽  
The Other ◽  
Ownership Concentration ◽  
Annual Reports ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship

This study seeks to establish a non-linear relationship between ownership concentration and financial performance of the listed Deposit Money Banks (DMBs) in Nigeria. The data were extracted from the annual reports and accounts of six (6) sampled DMBs from 2003 to 2014.  A panel data regression technique was used to analyse the data collected. The study establishes that the relationship between ownership concentration and the financial performance of listed DMBs in Nigeria changes from negative to positive when the ownership concentration reaches 54.94%. This signifies that the relationship between ownership concentration and financial performance is negative if the concentration is below 54.94%. On the other hand, the relationship is positive if it is concentrated above 54.94%.  Hence, it is recommended that the ownership of DMBs should not be concentrated below the cut-off point (54.94%) with the view to earning profits.

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 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 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 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.

Climate Change Accounting and Value Growth of Financial Institutions in West Africa

2021 ◽  
pp. 431-445
Author(s):  
Haruna Maama ◽  
Ferina Marimuthu
Keyword(s):  
Climate Change ◽  
Panel Data ◽  
West Africa ◽  
Financial Institutions ◽  
Annual Reports ◽  
Impact Of Climate Change ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
Value Growth

The study investigated the impact of climate change accounting on the value growth of financial institutions in West Africa. The study used 10 years of annual reports of 47 financial institutions in Ghana and Nigeria. The climate change disclosure scores were determined based on the task force's recommended components on climate-related financial disclosure. A panel data regression technique was used for the analysis. The study found a positive and significant relationship between climate change accounting and the value of financial institutions in West Africa. This result implies that the firms' value would improve should they concentrate and enhance their climate change disclosure activities. The findings also revealed that the impact of climate change accounting on the value of financial institutions is positively and significantly higher in countries with stronger investor protection. These findings enable us to expand our understanding of the process of generating value for investors in financial institutions and society, generally.

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 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 Dividend Changes and Future Profitability: Evidence from the Turkish Stock Market

2016 ◽  
Vol 8 (3) ◽  
pp. 196 ◽  
Author(s):  
Eyup Kadioglu ◽  
Nurcan Ocal
Keyword(s):  
Panel Data ◽  
The Other ◽  
Strongly Correlated ◽  
Data Set ◽  
Future Earnings ◽  
Panel Data Regression ◽  
Data Regression ◽  
Dividend Signaling ◽  
The Future ◽  
Dividend Announcements

<p>Most of the previous studies on dividends in Turkey have focused on the effects of dividend announcements. There has been no study investigating the relation between dividend changes and the future profitability of firms. This study investigates this relation by using both ordinary and panel data regression on a data set consisting of 1,239 dividend payouts from 123 companies listed in Borsa Istanbul during the period 2004-2014. This study is unable to demonstrate that dividend changes are related to changes in future earnings. No evidence is found to support the dividend signaling theory, which claims that dividends serve as indicators of the future profitability of firms. On the other hand, future profitability is found to be strongly correlated with profitability in the previous year.</p>

Islamic banks’ fee income, characteristics and risk: Panel data analysis evidence from Indonesia

2018 ◽  
Vol 6 (1) ◽  
pp. 6 ◽  
Author(s):  
Siti Sarah Mat Isa ◽  
Masturah Ma’in ◽  
Azlina Hanif
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Operating Income ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Us ◽  
The Relationship

One of the non-operating income in Islamic banking operation, which is fee income has become progressively vital in expanding their income to counter decreasing net earnings due to rivalry from other financial competitors. However, it is important for Islamic banks to find out any potential risk that will distress their performance due to this activity. This is because, mixed results on this issue derived from the previous studies especially in the Western context such as in the US, Germany and other European countries. Using Indonesian Islamic bank’s quarter data between 2009 and 2013, this study adopts the panel data regression analysis to examine the relationship between Indonesian Islamic banks fee income and risk. The empirical results signified that fee income activities able to reduce Indonesian Islamic bank’s risk.  

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.

Sign in / Sign up

Export Citation Format

Share Document