Investors generally invest in tangible and financial assets. Investment in financial assets takes place by buying shares and debenture ect. When a person buys a company"s share he will be the owner of that company and will enjoy from some benefits such as dividends, rights issue, stock dividends, bonus and increase of share"s prices. At the end of each financial period, companise will have to make two crucial decisions: What Portion of income has to be distributed to the share holders, and what portion of it needs to be invested in the company? Therefore the important question here is: what is the relation between earnings per share, dividends and investment? In order to answer these questions seven hypotheses have been raised and these hypotheses have led to the design of various models in order to decide a relation between earning per share, dividends and investment. By using regession model and related softwares, comprehensive data of companies have been gathered and analyzed during the years 1991-2001. The results proved a relation between earnings per share, dividends and investment.

The objective of this study is to investigate functional fixation hypothesis in the Tehran Stock Exchange (TSE). Functional fixation hypothesis will be study from different approaches. In this study, we first examine above hypothesis by investigating relationship between positive change of earnings per share and share price, second, by relationship between earnings management and share price. Sample of study are 100 firms during a 6- year period from 2005 to 2011. Using correlation method and multiple linear regression technique, the results of this study show that there is a positive relation between positive change of earnings per share and share price. Research evidence also show a positive relation between earnings management and share price. This issue confirm functional fixation hypothesis in TSE.

The aim ofthisstudy is to investigatethe information content ofdeclared dividends per shareand predicted earnings per share in explainingabnormalstockreturn. For this aim we used measures of unexpected profitand adjusted earning prediction that demonstrator earning per share and earnings per share prediction. The research population is Tehran Stock Exchange and the sample is 50 listed companies that selected by elimination and cover financial information during 2008 – 2011.The results show that the correlation between declared dividendsper shareandpredicted earnings per sharewithabnormalstockreturn is positive and important. Other results show that information content of declared dividendsper share is more than of predicted earnings per share.

earnings per share prediction and its changes as an economic events, from past, were interested for investors, managers, financial analysts and creditors. This interest is because of the use of earnings in share valuation models, improving efficient performing of capital markets, and evaluating solvency and evaluating of firm performance. The purpose of this paper is to earnings per share prediction using neural-fuzzy networks, MLP, GMDH, and determine most preferable model using four measures of evaluating performance. So, companies listed in TSE was chosen as statistical population and statistical sample is consisted of 500 firm-year from 24 active industry from 1386 to 1390 were chosen randomly using clustering sampling. The results show that neural-fuzzy networks is the most preferable comparing with neural networks, MLP, and GDMH, in all of four measures of evaluating performance, that it is showing of high power of this kind of networks in identifying dominant patterns of data and existence of non-liner relations of some accounting variables with (EPS). So, the accuracy of neural-fuzzy networks predictions is more than MLP and GDMH, and is more suitable for (EPS) prediction.

The aim of this study is the investigating the relationship between forecasted earnings per share and approval earnings per share and effective factors on this relation in listed companies in TSE.period duration of the study was 2004-2009 and 973 year-company selected as sample. The econometrics software (EViews 6) applied for analyzing the data. Findings show that Dividend per share (DPS) and forecasted earnings per share variables had the strong positive and significant relation with approval earnings per share (A(EPS)), and bigger companies were of lower A(EPS), however, the HISTORY of company had positive relation with A(EPS) but this relation wasn’t significant statistically. Results show that HISTORY and SIZE variables don’t improve the relationship between F(EPS) and A(EPS), but DPS variable has improved the relation about 13%, however. high strong and negative relation between SIZE (Ln (Issued Stock numbers)) and A(EPS) represents low return from capital because of lack suitable opportunities for investing or disability of managers in detecting these opportunities.

For many years, dividend policy has been one of the considerable challenges of finance literature. Probably, the best model describing the relation between changes of (EPS) and dividend is that of Lintner (1956). In his classic study, Lintner states that corporations’ dividend policy is to distribute a fixed dollar amount of yearly income. However, traditional manipulation models of Lintner (1956) and Fama and Babiak (1968) demonstrate that the amount of dividend is determined according to corporations’ current and previous incomes.Many researchers have already studied the factors affecting dividend policy. Having reviewed those studies and comparing their results, the present paper investigates the relationship of corporations’ income and liquidity with their dividends. This paper also investigates the effect of industry on the considered relationship.Having applied group sampling model, hypotheses of this study have been tested using linear multivariable regression analysis and variance analysis, and also incorporating virtual variables in multivariable regression. (EPS) has been considered as a measure of income for the year t and sum of net cash balance and dividend (net cash flow before distribution of dividend) at the year t+1 as a measure of liquidity.The results of this study shows a strong relation between income and dividend. It also shows that the relation of liquidity and dividend is slight and negligible, while it demonstrates no influence on dividend by industry.

The purpose of this study is to investigate the effect of voluntary disclosure on value relevance of earnings per share. The statistical society includes companies accepted in Tehran Stock Exchange (TSE), and the time span of the study is from the beginning of 2007 up to the end of 2010. Based on the assumption that an increased focus on the informational needs of investors should increase the quality of accounting information, we expect that greater voluntary disclosure levels will be associated with greater value relevance of earnings per share as one of the most important accounting information. The results show that voluntary disclosure no significant influence on the value relevance of earnings per share. An important reason for this conclusion can disability of investors and other users of the financial reports to use the accounting information to be disclosed.

The purpose of this research is investigation of the impact of earnings management on value relevance of earnings per share and its book value as accounting information in the context of companies listed in Tehran stock exchange. This study used earnings management measures constructed by Leuz et al (2001) and Bhattacharya et al (2001) and examines the relationship between these measures and their impact on the value relevance of accounting information. In this research, data are analyzed for the period of 2004-2009 by using of the Pooled Data system and Ordinary Least Square Regressions (OLS) Model. The results show that aggregate earnings management measures are significantly negatively associated with the value relevance of earnings per share and its book value.

In this research, the relationship between earnings to stock per price ratio (E / P ratio) with sales future growth and stocks systematic risk in listed companies in Tehran Stock Exchange is investigated. The purpose of the research is to determine whether investors are paying attention to the quality of information presented (earnings per share), and reflects this on corporate future sales growth and the systematic risk of stocks. It also examines whether there is a meaningful relationship between E / P ratio and future sales growth. The sample of this research includes 146 listed companies in Tehran Stock Exchange during the period of 2011-2016. The linear regression model was used to test the hypotheses. The research findings show that there is a negative relationship between earnings per share (E / P) and future sales growth. In fact, companies that have a higher profit / share / E / P ratio have lower sales growth. Also, the results of the research show that there is a reverse relationship between profit to share price (E / P) and systematic risk (β ). In fact, in companies with an E / P ratio, the systematic risk (β ) was lower. Other research findings show that there is a positive relationship between earnings per share ((EPS)) and future sales growth. The results also indicate an inverse relationship between earnings per share ((EPS)) and systematic risk (β ).

In order to become involved in the purchase and sales (exchange) of stocks, it is necessary for investors to investigate the predicted value of stocks of each company in the future. Obviously determination of such value would depend on predictions of earning power of companies in the future.This paper attempts to review the changes in stock price vis-à-vis announcement concerning adjustments of predicted (EPS), in Tehran Stock Exchange (TSE). Thus with the help of the literature, basic concepts were extracted as basis for setting the hypotheses and statistical tests. To analyze these hypotheses, changes in stock price during a period of 3 days before and after the date of announcement of adjustments for (EPS) were considered. Statistical population included companies actively traded in TSE throughout a 5-year period (2001- 2005), and stocks, that had at least one adjustment for predicted (EPS). Companies that were member of the population and the related adjustment were considered together as one main group and four subsidiary groups (according to the classifications made of companies based on year end dates).Two hypotheses were made for this research and were analyzed using a normal linear regression equation and a Chi-2 test. Results indicated that a significant relationship existed between changes in predicted (EPS) and changes in stock price. However market reaction has been somewhat slow and this could be due to the dissemination of information by non-accounting and through informal sources.