The main purpose of this study is to test the impact of accounting comparability on stock liquidity and firm value. This study uses panel data analysis to test hypotheses for a sample of 108 firms listed on the Tehran Stock Exchange during 2016-2020. Our empirical results show a positive relationship between accounting comparability with free float ratio and stock turnover ratio. But there is no significant relationship between accounting comparability and the Amihud ratio. The interpretation of this result can be attributed to how the Amihud ratio is calculated. Based on the constraints imposed on the Iranian capital market, the daily return in calculating the Amihud ratio has a certain fluctuation range and is not able to reflect all the dimensions of the market. In addition, our results document a positive relation between accounting comparability and firm value. Finally, accounting comparability does not moderate the association between stock liquidity and firm value. In addition, the cost of capital (CoC) intensifies the relationship between accounting comparability and firm value. We interpret these results as accounting comparability improves transparency, and reduces information asymmetry. These results also show that the capital market is incomplete.

The research investigated the relationship between the growth stock price and value stock price with the stock price crash risk in the listed companies in the Tehran Stock Exchange in this research. The methodology of this research is descriptive correlation whose design is experimental and uses a post-event approach. The multivariate linear regression based on panel data and a combination of cross-sectional and time series will be used to test the research hypotheses which we will investigate the effect of the independent variable on the dependent variable by statistical and econometric methods. Meanwhile, 98 listed companies in the Tehran Stock Exchange for ten years from the beginning of 2013 to the end of 2022 were selected through systematic sampling, the necessary data were extracted, and the developed hypotheses were tested. It was concluded after passing the mentioned steps that the effect of the behavior of growth stock price and value stock price on stock price crash risk is different, and these findings are aligned with the findings of Fulkinshitin et al. [6].

The value at risk as one of the risk measurement criteria can be used to determine the Stock Optimal Portfolio. The main objective of this study is to determine the optimum portfolio of shares using value at risk. To this end, data from the weekly prices of the stock of 17 selected cement companies (which their data have been available) has been used during the period January 2012 to March 2017. First, the value at risk for each share is calculated using a parametric approach and a variance-covariance method, and the optimal portfolio weights are comprised of the shares of the companies mentioned. Then employing nonlinear planning, optimization of the stock portfolio with the lowest value at risk was performed with respect to the expected returns. Based on the empirical results, the highest weight in the optimal portfolio belongs to the stock, which has high expected returns and has the lowest value at risk among the companies under study.

Generally, "The biggest risk in the capital market or ina portfolio (capital market, Bank ...) occurswhena sudden large change occur towards its unfavorable basket. It's essential for financial risk management knowing the probability that such case sareveryrare and estimated its consequences. These values (Extreme Movement) are located at the tail of the distribution function, and therefore they named "Extreme Values".In this study, we followed the distribution of Iran stock Exchange returns (TEDPIX and Industrial Index) in two different time periods. We are testing afat tail in two different time periods. Generalized Extreme Value Theory (GEV) results show there are fat tails in the distribution function of return for both indices and for both periods. Finally, the Back testing results for the VaR calculated with this approach show that the model for 100-daytime horizonhas better performance than the 50- daytime horizon. We use Statistics Lopez tocomparethe performance of these Approach models (GEV); with VaR calculated with model Risk metric models with assuming normal distribution for different confidence levels. We reached to this conclusion that the GEV has better performance, because focuses on tail distribution function more than others approaches.

This study seek to examine performance of Feltham-Ohlsen (1995) valuation model at the Tehran Stock Exchange and is trying to identify relation between intrinsic company value and return. This model is trying to determine the intrinsic value of company using their book value. Statistical community of this study includes all TSE accepted companies and Statistical sample is including 37 TSE accepted companies from 3 different industry (Food and beverage industry other than sugar, Food industry and pharmaceutical products, Automotive Industry) and data for these firms are analyzed interval 1377 to 1386 using Time series-Cross sectional (panel data) regression model. Results show that the model above boldly dose’nt able to determine the intrinsic value of companies. But evidence shows that the companies that have more intrinsic value, earn more profits. According to the results of performance of this model can not completely rejected, but now using of this model in Tehran Stock Exchange is not recommended.

One of the most important factors of economic development is optimum allocation of resources especially financial resources. Basically, capital market facilitates the buying and selling of securities such as shares and bonds. Hence, the main question of the present research is whether stock market price is near to intrinsic value of food and beverages industries groups stock in Iran or not. Like any other assets, the value of financial assets is equal to the present value of the stream of cash flow called intrinsic value. For valuation of shares, the model of present value has been used in this paper. In order to answer the research question, we test the equality of average of market value to the present value of stock. The results show that stock market price is bigger than the intrinsic value. Hence, wecanconclude that there is no systematic relationship between dividends and stock market price in the Stock Exchange Market.