The stock selection problem is one of the major issues in the investment industry, which is mainly solved by analyzing financial ratios. However, considering the complexity and imprecise patterns of the stock market, obvious and easy-to-understand investment rules, based on fundamental analysis, are difficult to obtain. Fundamental and technical analyses are two common methods for predicting th...

abstract the current study aims to investigate the relationship between iran’s targeted subsidies plan and the stock returns of listed companies on the tehran stock exchange (tse). stock returns is obtained from the indices of three industries: pharmaceuticals, chemicals, and machinery and equipment. moreover, the present research uses gold price and dollar price as control variables. the targe...

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 application of technical analysis in selecting common stocks by mr. hasan amiri . 2- determination of factors influencing the capital struture of corporations listed in tehran stock exchange. by mr. omid pourheidari. 3- the adequacy of the stock price index of tehran sto...

us 2008 financial crisis, spreaded out across the international stock markets in the second half of the year 2008. the crisis decreased the returns and increased the volatilities of almost all of the stock indices, however, its effects on iran’s stock markets were unexplored. financial limitations create an exclusive situation in iran’s stock market. using weekly data on the stock indices from ...

Modeling and analysis of future prices has been hot topic for economic analysts in recent years. Traditionally, the complex movements in the prices are usually taken as random or stochastic process. However, they may be produced by a deterministic nonlinear process. Accuracy and efficiency of economic models in the short period forecasting is strategic and crucial for business world. Nonlinear ...

one of the most important concepts in financial statement analysis and evaluation is conservatism. thus recognition of the factors which influence conservatism can considerably help the investor in managing the selection of more conservative assets properly and avoiding the untrue exposure of financial statements. this research is about to consider the relation of effective factors on organizat...

This research is related to the usefulness of different machine learning methods in forecasting time series on financial markets. The main issue in this field is that economic managers and scientific society are still longing for more accurate forecasting algorithms. Fulfilling this request leads to an increase in forecasting quality and, therefore, more profitability and efficiency. In this pa...

This study applied a prediction-based portfolio optimization model to explore the results of portfolio predicament in the Tehran Stock Exchange. To this aim, first, the data mining approach was used to predict the petroleum products and chemical industry using clustering stock market data. Then, some effective factors, such as crude oil price, exchange rate, global interest rate, gold price, an...