in today’s world, markets are no longer under the limitations of a specific location and the importance of this issue is illustrated in effective decision making of economic agents, because the world financial markets are considered often valuable guideline for domestic and foreign markets. in this research, due to the connections between world stock markets, stock markets in countries with the...

Stock market represents an essential part of the economy in the Middle East, it is significant for shareholders and investors to estimate the stock price and select the best trading opportunity accurately in advance. This paper utilizes artificial neural network in the modeling of stock market exchange prices. The network was trained using supervised learning. Simulation was conducted for seven...

The jamor purpose of the present research is to predict the total stock market index of Tehran Stock Exchange, using a combined method of Wavelet transforms, Fuzzy genetics, and neural network in order to predict the active participations of finance market as well as macro decision makers.To do so, first the prediction was made by neural network, then a series of price index was decomposed by w...

One of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock exchange market. This research proposes a smart algorithm by means of valuable big data that is generated by stock exchange market and different kinds of methodology to present a smart model.In this paper, we investigate relationships between the data and access to their lat...

In this study, we focused on Tehran stock exchange market analysis based on applying moving average rules. The Tehran stock exchange in the Middle East has evolved into an exciting and growing marketplace where individual and institutional investor trade securities of over 420 companies. In an attempt to examine the ability to earn excess return by exploiting moving average rules, the average a...

in this paper using catastrophe theory, we investigate non-smooth changes in tehran stock exchange. stock market crashes bring not only panic among investors, but also in deeper market lead to recession and decrease in consumer's confidence. as catastrophe theory is strong tool in explaining nonlinear phenomena, by applying stochastic cusp catastrophe model we examine sudden change in tehr...

stock selection method in stock exchange is an important issue for investors in such markets. investors will gain benefits more than market average provided that they make logical decisions while selecting stocks. the issue of stock selection in markets like tehran stock exchange (that are not so efficient) is requires more attention of the investors as there is not a suitable equilibrium betwe...

in this section of the journal, a summary of theses completed at the m.b.a level is presented. the title of these are: 1- the effect of financing methods on the stock price on the tehran stock exchange by mohammad rahmani 2- the effect of money supply on the exchange rate in iran by minuo kiani -red 3- an investigation of the reasons for price volatility of stock price an tehran on the stock ex...

The purpose of this study is to investigate the effect of corporate governance (CG), corporate social responsibility (CSR) and their interactive effect on the value of companies listed on the Tehran Stock Exchange. For this purpose, the data of 194 companies listed on this stock exchange, which was selected using a systematic elimination method, from 2011-2017 were collected and analyzed using ...