This paper investigate the validity of linear information Model by using the sample of Iranian companies between 1368 - 1383. In this research using time series and Regression method, seven parameter of liner information methods introduced by Ota (2001) have been estimated. Then by using residual income valuation Model, accepted linear information Models have been used in valuation. The results show that some information Models are suitable with existent theory in this area.

This study examines the efficiency of Feltham-Ohlsen (1995) valuation Model in the Tehran Stock Exchange, TSE, and attempts to identify the relationship between intrinsic company value and return, to determine the intrinsic value of company using their book value. The statistical population in this study includes all TSE accepted companies and the sample consists of 89 TSE companies from different industries, and the data covers the years 1998 to 2009 and is used in time series-cross sectional (panel data) regression Model. Results show that the Model is not able to determine the intrinsic value of the companies, and that the relationship between the ratio of intrinsic value to market value and the ratio of price to earning value is not statistically significant. In addition, the companies that have the least ratio of intrinsic value to market value are assessed in the market higher than their real value.

Ohlson (1995) and Feltham-Ohlson (1995) valuation Modelsare accounting based Models that affect from accounting income, discount rate and conservatism. The Life Cycle Theory says that company show different characteristics in some important aspects during different stages of its life and has specific politics in each stage of its economic life. These policies are reflected in the company's accounting information. So investors and analysts consider different importance to these variables at different stages of the life cycle. The aim of this study is to achieve adjusted versions of the Ohlson and Feltham-Ohlson prediction and valuation Models using the Dickinson’s life cycle classification (2011). For comparative assessment of the initial and adjusted Models the panel data of the 143 firms listed on Tehran Stock Exchange between 2009 and 2014 is used. The results show that the adjusted Models have better performance in both predicting abnormal earnings and firm’s valuation compared to the initial Models.

Corporate responsibility reporting is associated to economical, ethical, social and environmental aspects of corporate activities. Therefore, whether shareholders consider corporate responsibility reporting’ s information in stock valuation is important. In this study, using the hassel et al. Modified Ohlson Model, we investigate the role of corporate responsibility reporting on firm valuation by investors. Level of corporate responsibility reporting is measured using a Model developed by Hassas Yeganeh & Barzegar. Results from 44 firms listed in Tehran Securities Exchange (205 firm-year observation) suggest that firm value is positively correlated with degree of social responsibility disclosure. Moreover, results suggest that financial information and CSR combined explains market valuations better than only financial information.

One of the primary goals in an accounting system is to provide relevant, in-time, and reliable information for the users. The accounting structure of historical costs considers past events of companies, on the other hand investors, mostly, need to have a clear image of companies’ future. Therefore, this idea comes to existence that the accountants should provide such information that makes it possible for the investors to forecast the future of the companies better In this paper, we study the relationship between accounting information (earning per share and book value per share), adjusted based on inflation, and stock market prices To this end, the sample includes 169 companies in a six-year period and we analyzed the data by using Eviews software. The statistical method in this research is based on Ohlson assessments Model. After adjusting the financial historical information based on the Consumer Price Index, we tested the relationship between market value of stocks and adjusted financial data. The results of the current study show that both the historical financial statements and inflation-adjusted financial statements indicate significant relationship with the stock market, so it is more practical to present both type of statements together as a complementary and not as a substitute of one another.

Stock valuation using valid scientific methods will lead to optimal investment decisions and optimal allocation of capital resources. Therefore, in order to encourage investors to invest more in financial markets, continuous pricing Models should be explored and appropriate Models identified and introduced. The purpose of the present study is to compare the accuracy of the Piotroski Model compared to the Olsen Model in explaining the price changes of the stock listed in the Tehran Stock Exchange. The statistical population of this study is all companies accepted in Tehran Stock Exchange from 2010/3 until 2017/3. The data are obtained by referring to the capital market information data bases. The findings of the research indicate that both Olsen and Piotroski's Models are able to explain stock price changes in Tehran Stock exchange. By comparing the accuracy of the two Models, it was determined that the accuracy of the Piotroski Model in explaining stock price changes in the Tehran Stock Exchange is more than the Olsen Model. By comparing the accuracy of the two Models, we found that the Piotroski Model has a better performance than the Olsen Model in explaining stock price changes in the Tehran Stock Exchange.

The significance of risk and performance indicators during the firm’ s life cycle is different according to the life cycle theory. On the other hand Ohlson prediction and valuation Models (1995) are based on firm book value, accounting profit and the assumption of "randomized, balanced and stabilized abnormal earnings". In this study which is aimed to review the ability to improve the Ohlson valuation Model considering the firm’ s life cycle variable, a sample of 110 firms listed in Tehran Stock Exchange between 2003 and 2013 was selected. Using Park and Chen (2006) methodology, the life cycle was divided into three stages and then, considering the firm’ s place in the life cycle, prediction Models of abnormal earnings and Ohlson firm’ s valuation (1995) were adjusted and afterward the adjusted Models were compared with the initial Model in two short-term and long-term estimation periods of 5 and 10 years, respectively. The results show that during both estimation periods, the adjusted Model has a better performance in predicting abnormal earnings and firm’ s valuation compared to the initial Model, however during the 10-year estimation period, the two Models’ estimated values were significantly less than actual values.