Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The present paper focuses on the impact of dividend policy on shareholder’s wealth in sugar industries of Pakistan. For this study we have selected the sample of 33 listed companies of sugar industry out of 36 at Karachi Stock Exchange from the food and producers sector. The data is collected for the period of 6 years from the year 2006 to 2011. For this study descriptive statistics and multiple regression analysis is used by taking dividend per share (DPS), earnings per share(EPS), Lagged Market Price Ratio (LMPR), Lagged Price Earnings Ratio (LPER) Price Earnings Ratio (PER) Retained Earnings Ratio (RER) as independent variables and market price per share (MPS) as dependent variable. The R2 shows that 99% variations in MPS are due to the explanatory variables. The p value of the f statistic shows that all the regressors have jointly significant relationship with dependent variable (MPS).
Mohammad Salman Sarwar. 2013. \u201cEffect of Dividend Policy on Share Holders Wealth: A Study of Sugar Industry in Pakistan\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 13 (GJMBR Volume 13 Issue C7): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 101
Country: Pakistan
Subject: Global Journal of Management and Business Research - C: Finance
Authors: Mohammad Salman Sarwar (PhD/Dr. count: 0)
View Count (all-time): 152
Total Views (Real + Logic): 4765
Total Downloads (simulated): 2505
Publish Date: 2013 07, Mon
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The present paper focuses on the impact of dividend policy on shareholder’s wealth in sugar industries of Pakistan. For this study we have selected the sample of 33 listed companies of sugar industry out of 36 at Karachi Stock Exchange from the food and producers sector. The data is collected for the period of 6 years from the year 2006 to 2011. For this study descriptive statistics and multiple regression analysis is used by taking dividend per share (DPS), earnings per share(EPS), Lagged Market Price Ratio (LMPR), Lagged Price Earnings Ratio (LPER) Price Earnings Ratio (PER) Retained Earnings Ratio (RER) as independent variables and market price per share (MPS) as dependent variable. The R2 shows that 99% variations in MPS are due to the explanatory variables. The p value of the f statistic shows that all the regressors have jointly significant relationship with dependent variable (MPS).
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