Stock

The concept of value is of great importance for investors. The goal of different groups of investors is always to maximize the value of their capital. The aim of this research is developing factors effective on securities in capital market in order to develop a paradigm for fair valuation that leads investors to make better decisions. To study fair value in a precise and comprehensive way, effective variables are divided into three main categories. First: evaluation variables including cash flow (income quality), discount rate, and earnings per share; second: intra-organizational variables of corporate governance including the type of ownership (the number of institutional investors), management quality (the number of boards in charge or centralized management as well as the number of  non-in charge board of directors or decentralized management), the amount of reward, compensation and quality of organizational structure; third: variables relating to reporting quality such as offering reliable and on time information. Other variables such as firm size and operation cycle (complexity of business environment) have also been studied. And according to selected sample, methods and statistical analysis, a paradigm for fair valuation has been developed.

Choosing the financial supply is one of the most important decisions for providing optimal structure that can be effective for firm value and stocks market of companies. Therefore, marketing as one of the abilities of the firm can be effective on firm function. The purpose of this research is studying the role of marketing intensity on the relation of financial leverage and firm function in Companies listed on the Tehran Stock Exchange. This study is performed between 2012 and 2016 and 103 firms are studied in this research. The independent variables in this research are financial leverage and marketing intensity. The dependent variable is firm evaluation that Tobin's Q is used for evaluating this variable. For evaluating the research variables, Eviews 9 software is applied. The research findings illustrate there is not a U relation between financial leverage and firm function and marketing intensity is not a moderator between these two variables.

The main reason for people investing in the stock market is to make a profit, which requires accurate information about the stock market, price changes and predicting its future trend. Therefore, investors need powerful and reliable tools for forecasting Stock prices in the future. The main purpose of this study is to present a method based on wavelet denoising and dynamic time warping to identify the stock price pattern in the Tehran Stock Exchange. In this regard, first, using the wavelet denoising preprocessing step, noise is removed from the stock price time series, and then the extracted data is used as input to the dynamic time warping prediction model. MATLAB software version 9.11 was used to analyze the research data. The statistical population of the present study includes 3 shares among the shares of steel industry companies of Tehran Stock Exchange. The research was conducted in the period 1395 to 1398. The results show that the predictions obtained from the dynamic time warping method equipped with the wavelet denoising preprocessing step in comparison with the predictions obtained from the dynamic time warping method without the wavelet denoising preprocessing step in all three shares studied, have been associated with much less accuracy and error.