List of Articles نسبت پرداخت سود سهام

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  1 - Factors affecting Dividend Payout Ratio and Comparing Forecast Accuracy of Dividend Payout Ratio using Regression Model and Neural Network in Iran Over-The-Counter (OTC) Market
  Hamid Reza Chegini Mohsen Hamidian Negar Khosravi Pour
  This article aims to study the factors affecting the dividend payout ratio and compare the forecast accuracy of neural network and regression models using the data for the companies listed on Iran OTC market. This article also studies the relationship of last year divid More

  This article aims to study the factors affecting the dividend payout ratio and compare the forecast accuracy of neural network and regression models using the data for the companies listed on Iran OTC market. This article also studies the relationship of last year dividend payout ratio, fixed assets to total assets ratio, current ratio, assets-to-debt ratio, revenue growth, accounting earnings quality ratio, and cash return on assets as independent variables with dividend payout ratio as dependent variable. For hypothesis testing, second-order multiple egression model was employed with a sample size of 50 companies in OTC market during a 5-year period of which their end of fiscal year was from March 20th, 2011 to September 22nd, 2015. The results showed that last year dividend payout ratio, fixed assets to total assets ratio, current ratio, assets-to-debt ratio, and accounting earnings quality ratio have no significant relationship with the dependent variable. Revenue growth and cash return on assets, however, have a positive, significant relationship with dividend payout ratio. Findings also indicate that forecast error of neural network is smaller than that of regression model. Therefore, neural network gives better forecast Manuscript profile
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  2 - A Neural Network of Dividend Payout Ratio Determinants
  Mahdi Moradzadeh Fard Parisa Attary Motlagh
  This research analyzes the determinants of dividend payout ratio, using a sample of Tehran Stock Exchange companies and it also compares the predictive power of neural networks and regression model to estimate dividend payout ratio. The purpose of this research is ident More

  This research analyzes the determinants of dividend payout ratio, using a sample of Tehran Stock Exchange companies and it also compares the predictive power of neural networks and regression model to estimate dividend payout ratio. The purpose of this research is identification and explanation of the determinants of dividend payout ratio, evaluation of the importance of these determinants, and presentation of a descriptive model of dividend payout ratio determinants. Among the different theories and ideas researchers in the field of finance about dividend, in this study, signaling theory, agency theory and residual theory of dividend have been studied. In order to review the theories, first substituting variables were determined and then the necessary information for 133 companies was gathered during six years(83-88). The information was analyzed via statistical methods based on correlation coefficient, multivariate regression, and artificial neural networks. The results of this research indicate the existence of a significant and positive relationship between dividend payout ratio and “last year dividend payout ratio, ownership dispersion and free cash flow(FCF)”. A comparison between regression and neural network models indicating more accurate prediction of dividend payout ratio using neural network model. Also in structure(7-13-1) of neural network, a model with “learning initial=0/15 and momentum= 0/9” shows that revenue growth, last year dividend payout ratio, and ownership dispersion are the most important determinants of dividend payout ratio. Manuscript profile