in this article the weak form of efficient market hypothesis, was tasted by using prices of common stocks listed in the tehran stock exchange. the study used weekly prices of fifty common stocks between september 1989 and june 1993 . the sample consisted of those stocks which were most active on the tehran stuck exchange over the study period. the results showed that stock price changes were no...

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...

The main purpose of this research is the study on effect of Financial and Operating Leverage and Venture Capital on Tobin's Q ratio amongst companies listed in Tehran Stock Exchange. In this research, the Holdings and Investment companies are used as statistical samples and 73 enterprises that are listed in Tehran Stock Exchange within 2001 to 2016 have been studied. The results driven by this ...

The purpose of this study is to compare the impacts of momentum on stock returns of companies listed in Tehran Stock Exchange in different market conditions. For this purpose, the sample size is 120 months from 2008 to 2017. The research hypotheses are estimated using multivariate linear regression using time series method. Based on the results of the hypotheses test, the momentum in each of th...

the purpose of this article is to test whether the stock price index of the tehran stock exchange is located in the efficeent set of portfolios or not. in this paper the mehtod introduced by elton, gruber and padberg was used to determine the efficiency of the tse stock price index. the results showed that the tse index is not located in the efficient set.

the goal of this research is to predict total stock market index of tehran stock exchange, using the compound method of arima and neural network in order for the active participations of finance market as well as macro decision makers to be able to predict trend of the market. first, the series of price index was decomposed by wavelet transform, then the smooth's series  predicted by using...

The aim of this research is the analysis of management ability using accounting and corporate governance criteria and also artificial intelligence. The primary independent variables in this study include regulatory variables (characteristics of corporate governance and audit committee) and accounting variables (performance and risk criteria). We took advantage of Demirjian index to measure mana...

In portfolio theory, it is well-known that the distributions of stock returns often have non-Gaussian characteristics. Therefore, we need non-symmetric distributions for modeling and accurate analysis of actuarial data. For this purpose and optimal portfolio selection, we use the Tail Mean-Variance (TMV) model, which focuses on the rare risks but high losses and usually happens in the tail of r...