This paper examines the effects of selected macroeconomic variables on the stock market index in Iran. Using quarterly data, we examine the relationships between the Tehran Stock Index (TSI) and five macroeconomic variables which consist of gross domestic product, nominal effective exchange rate, money supply, gold coin price and investment in housing sector from 1996:1 to 2008:1.Various e...

this research applies and compares the market leverage lally method, ibbotson and sinquefield method and siegel method, to present alternative measures for market risk premium (mrp) estimation and test forecasting power of these methods in calculating expected rate of return. the higher level of leverage implies greater risk of investment in a specified stock, so higher return is expected by in...

Researchers in the field of portfolio optimization made efforts to decrease uncertainty future returns. Any disturbance parameter values causes solution be non-optimal or impossible. This study designs a strong fuzzy-multipurpose model for stock based on Tehran Stock Exchange market data. At end paper, created is compared with results multi-objective model. The show that fuzzy has relative stab...

the present research aims to evaluate impacts of crude oil price return index, bloomberg petroleum index and bloomberg energy index on stock market returns of 121 companies listed in tehran stock exchange in a 10 years' period from early 2006 to april 2016. first, explanatory variables were aligned with petroleum products index mostly due to application of dollar data. subsequently, to che...

Modeling the dependency between stock market returns is a difficult task when returns follow a complicated dynamics. It is not easy to specify the multivariate distribution relating two or more return series. In this paper, a methodology based on fitting ARIMA, GARCH and ARMA-GARCH models and copula functions is applied. In such methodology, the dependency parameter can easily be rendered condi...

The main purpose of this paper is to study the relationship between managers' performance in the field of interpersonal, informational and decision-making tasks with organizational health. To measure the indicators of the model, a questionnaire was prepared and distributed among 113 company of Tehran stock Exchange Market. According to the results, there are a direct and significant relation be...

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...

In this research, we proposed a new metaheuristic technique for stock portfolio multi-objective optimization employing the combination of Strength Pareto Evolutionary Algorithm (SPEA), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Arbitrage Pricing Theory (APT). To generate the more precise model, ANFIS has implemented to envisage long-term movement values of the Tehran Stock Exchange (TSE)...