COMPARATIVE FINANCIAL EFFICIENCY ANALYSIS FOR TURKISH BANKING SECTOR

2014 ◽  
pp. 185-203
Keyword(s):  
Banking Sector ◽  
Efficiency Analysis ◽  
Financial Efficiency

scholarly journals Determinants of dividend payout policy: An empirical study of banking sector of Pakistan

2016 ◽  
Vol 10 (4-5) ◽  
pp. 101-106 ◽  
Author(s):  
Ishtiaq Ahmad ◽  
Muhammad Fahid Muqaddas
Keyword(s):  
Dividend Policy ◽  
Banking Sector ◽  
Stock Exchange ◽  
Payout Policy ◽  
Panel Regression ◽  
Financial Efficiency ◽  
Safety Risk ◽  
Dividend Payout ◽  
Jel Code ◽  
Relationship Of

One good way to communicate financial performance of a bank to its shareholders is the payment of dividend. The present study is attempted to explore the influence of financial efficiency, safety, risk and profitability on dividend policy using panel data of 10 commercial banks listed at Pakistan Stock Exchange (PSX) for a period of 9 years between 2006 to 2014. The panel regression technique is used to analyze the data. The analysis shows a positive relationship of dividend payout ratio with safety and profitability in banking sector of Pakistan. The study identifies a negative association of dividend payout measure with financial efficiency and risk. The results show the statistically significant association of safety, risk and profitability with dividend payout ratio. Based on these findings it is concluded that safety, risk and profitability measures are relatively strong measures for defining dividend policy. The results are strongly indicating that safer the banks, the greater payout ratio the bank has. Moreover; banks with higher profitability and lower non-performing loans (NPLs) are believed to pay more dividends. JEL code: G21, G23, G35

scholarly journals Evaluation and Influence of Chinese Enterprises' Financial Efficiency Based on the Malmquist Index

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shaodong Yu ◽  
Chunling Li
Keyword(s):  
Malmquist Index ◽  
Efficiency Analysis ◽  
Dynamic Study ◽  
Undesirable Output ◽  
Growth Trend ◽  
Financial Efficiency ◽  
Chinese Enterprises ◽  
Index Model ◽  
Industrial Enterprises ◽  
Major Factors

This paper introduces a superefficiency financial efficiency model with undesirable output based on the features that the output of industrial enterprises contains desirable output as well as undesirable output. Furthermore, the Malmquist index model is constructed for financial efficiency dynamic study, and the spatial Durbin model is constructed for evaluation and impact of enterprises. According to the financial data of Chinese enterprises from 2007 to 2019, this paper evaluates the financial efficiency of Chinese interprovincial industrial enterprises dynamically and measures the influence levels of major impacts on the financial efficiency of Chinese interprovincial industrial enterprises quantitatively. As reported by this paper, the conclusions are as follows: (1) In reference to the financial efficiency dynamic study analysis, there is an obvious growth trend in the financial efficiency of Chinese interprovincial industrial enterprises in different years. Based on the horizontal analysis of financial efficiency, there is a relatively large gap in financial efficiency among Chinese interprovincial industrial enterprises. (2) From the separation factors of financial efficiency analysis, the main factor affecting the growth of the financial efficiency of Chinese industrial enterprises is the modification of technology, and the modification of technical efficiency has a minor impact. (3) In accordance with the impacts of enterprise efficiency analysis, several major factors influence the financial efficiency of Chinese industrial enterprises such as major business cost, operating profit, total liabilities, national capital, and the number of R&D personnel.

scholarly journals An Efficiency Analysis of Conventional and Islamic Banking in Pakistan

2021 ◽  
Vol 4 (2) ◽  
pp. 469-482
Author(s):  
Hina Ali ◽  
Hafiza Hina Saleem ◽  
Kalsoom Paracha ◽  
Sabiha Abdul Quddus
Keyword(s):  
Banking Sector ◽  
Time Series Data ◽  
Efficiency Analysis ◽  
Series Data ◽  
Islamic Banking ◽  
Gdp Growth ◽  
Estimation Model ◽  
Gdp Growth Rate ◽  
Current Estimation ◽  
Total Investment

The current estimation is involved to regulate the efficiency analysis between Islamic banking and conventional banking by reference to GDP growth, total reserve as dependent variables, and total assets, total deposits, total investment, and total liabilities as autonomous variables. Time series data is collected from 1990 to 2019, Islamic banking has increased facts and lending in Pakistan. Most people believe in Islamic banking philosophy as it is Islamic shariah based with full reserves, total assets, total deposits, total investment, and total liabilities, Considered the descriptive variables independent variable in which the coefficient of the total assets, the total deposit had a highly significant impact on GDP growth rate. Pakistan had a dynamic role regarding the banking sector when assets of the banking sector increases and GDP Growth also increased in Pakistan. Autoregressive lagged estimation model and economic effectiveness on the supply side and Islamic banking relationship in Pakistan, GDP growth is positive and significant.

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