La Structure Du Capital Et La Profitabilité: Une Étude Empirique Sur Données De Panel Françaises (Capital Structure and Profitability: An Empirical Study on French Panel Data)

2012 ◽  
Author(s):  
Mazen Kebewar
Keyword(s):  
Panel Data ◽  
Empirical Study ◽  
Capital Structure ◽  
Données De Panel

scholarly journals DETERMINANTS OF BANKS’ BOTTOM LINE: EVIDENCE FROM BENCHMARKING MALAYSIAN AND HONG KONG BANK

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Michael Tinggi ◽  
Shaharudin Jakpar ◽  
Ling Ling
Keyword(s):  
Hong Kong ◽  
Panel Data ◽  
Empirical Study ◽  
Capital Structure ◽  
Banking Sector ◽  
Strong Impact ◽  
Bottom Line ◽  
Managerial Efficiency ◽  
The World ◽  
The Impact

The aftermath of 1997/1998 Asian-financial meltdown, witnessed a significant restructuring of banking sector, resulting in fewer but bigger conglomeration of banks in Malaysia. Banks are now challenged to raise profit to another level in order to be more resilient against any future financial onslaught. The need to learn from some of the world best banks should be explored. This empirical study therefore attempts to benchmark the determinants of banks’ bottom line in Malaysia vis-à-vis attributes affecting viability of the same industry in Hong Kong. The domain of the study involves gauging the impact of firm’s size, capital structure, liquidity, managerial efficiency, loans’ size on bottom line enjoyed by banking sector in Malaysia and Hong Kong. The panel data are extracted from the 11 major banks, operating from each country in Malaysia and Hong Kong for period 2002 to 2011. The fixed effect panel found that, bank size, capital structure and loans to customers have strong impact on bank bottom line in Malaysia. In contrast, managerial efficiency improves profit margin in Hong Kong banking sector.Keywords: Banking Sector; Benchmarking; Bottom Line Determinants.

scholarly journals Valor bursátil de los bancos europeos: Determinantes económico-financieros y de gobierno corporativo

2020 ◽  
Vol 32 (2) ◽  
pp. 677
Author(s):  
Iván Muñoz Jiménez ◽  
José Miguel Rodríguez Fernández
Keyword(s):  
Corporate Governance ◽  
Panel Data ◽  
Empirical Study ◽  
Capital Structure ◽  
Positive Impact ◽  
Market Value ◽  
Econometric Models ◽  
Banking Institutions ◽  
European Banks ◽  
Asset Quality

The objective of this empirical study is to investigate the influence of the economic, financial and corporate governance characteristics on stock market value of a sample of European banks in recent years. To this end, several theoretical hypotheses are tested by various estimates econometric models with different specific techniques for panel data, considering as dependent variable Tobin's Q ratio. It detects that there is a positive impact of good asset quality, adequate capital structure, operational efficiency, liquidity and corporate governance of banking institutions.

Panel Data Analysis of Determinants of Leverage in the Automobile Industry in India

GIS Business ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 29-47
Author(s):  
Vibha Tripathi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Automobile Industry ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Order Theory ◽  
Ordinary Least Squares ◽  
Pecking Order ◽  
Trade Off ◽  
Coverage Ratio

The study tries to investigate the key determinants of capital structure of leading automobile companies and the Automobile Industry in India. The study also tracks the theory implications, i.e. trade off vs. pecking order in these firms and the industry in general. An attempt is to see, if individually each sample company and the whole industry are influenced by the same determinants of capital structure. Pooled ordinary least squares and panel data econometric techniques such as fixed effect models are used to investigate the most significant determinants that affect the capital structure choice of 10 leading companies categorized as BSE Auto Top 100 and the Automobile Industry as a whole for a period of 14 years from 2000–2001 to 2013–2014. The study reveals some interesting facts and results. Multiple regression analysis reveals that while profitability and size are significant determinants in most of the leading companies; NDTS, Growth, and Debt service coverage ratio are not significant for these companies. While the Panel data results of the Automobile Industry as a whole reveals that profitability is the only significant determinant having negative relationship with debt equity ratio; and the other variables are insignificant. Also individual companies coefficient results shows implications of mix of pecking order and trade off theories while the panel data results of the whole Industry strongly supports the Pecking order theory.

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

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