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Abstract
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Article Information:
Examining the Relationship between the Dividend Policy and Stock Prices in Companies Listed on Tehran Stock Exchange
Alireza Asadi
Corresponding Author: Alireza Asadi
Submitted: January 31, 2013
Accepted: February 25, 2013
Published: December 05, 2013 |
Abstract:
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This research is applied based on the objective and has the library type in terms of data collection because it is seeking to calculate and explain the relationship between the coefficients of each of the independent variables (dividend policies) with the stock price in Iran by using the econometric models. The document part in library studies and the information related to the research variables were applied in order to collect data necessary for the research and also the annual reports of stock were referred. The objective of this study is to study and examine the relationship between the dividend policy and stock prices in Iran during the years 2007 to 2011. The regression equation was determined based on the obtained results according to the type of relationship among the variables of this study. The normality of data distribution was determined through Kolmogorov-Smirnov test. The Analysis of Variance test was done in order to make sure of the relationship between the independent and dependent variables. Then the regression equation of research variables was calculated. Finally, Friedman test was done in order to rank the dependent and independent variables of model. According to the overall result of this study, there is a direct significant relationship between the variables of earnings per share and cash dividend. Moreover, ranking the variables also indicates the preference of earnings per share to the cash dividends. Finally, the regression model of relationship among the variables of research has been also presented.
Key words: Dividend, earnings per share, stock price, , , ,
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Cite this Reference:
Alireza Asadi, . Examining the Relationship between the Dividend Policy and Stock Prices in Companies Listed on Tehran Stock Exchange. Research Journal of Applied Sciences, Engineering and Technology, (22): 4186-4191.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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