While the relationship between stock market return and oil price is of great interest to researchers, previous studies do not investigate stock market return with petrochemical products market. In this paper, we analyzed the relationship between prices of main petrochemical products and stock returns of petrochemical companies in Tehran stock exchange. Using a panel data model and GLS estimatio...

The interaction of BRICS stock markets with the United States is studied using an asymmetric Granger causality test based on the frequency domain. This type of analysis allows for both positive and negative shocks over different horizons. There is a clear bivariate causality that runs both ways between the United States stock market and the respective BRICS markets. In addition, both negative a...

phenomenon of price manipulation is one of the factors which have caused mistrust of the investors to the stock market and inhibits its growth and prosperity. entering the shareholders into the stock market, on one hand leads to increase in the general level of revenues and on the other hand causes inexpensive financing for companies. in this research, at first by using duration dependence test...

generally, high oil prices slow economic growth, cause inflationary pressures and creates global imbalances. in addition, oil price volatility increase uncertainty and restrain the much-needed investment in the capital market. thus, this paper applies the augmented dickey fuller and johansen co-integration tests in which the effect of oil price volatility, crude oil price and stock price is ana...

T his study examines how oil price shocks interact with the stock market index within a nonlinear autoregressive distributed lag model in Iran. Based on quarterly data for the period from 1991 to 2017, the findings revealed statistically significant evidence of short-run and long-run asymmetric behavior of stock market index in response to the positive a...

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...

to achieve the optimal model for capital asset pricing has always been a central issue in studies of the financial field. in this study we consider fama and french three-factor model augmented by the pastor and stambaugh (2003) liquidity risk factor. unlike most previous studies in this model, stock level beta is allowed to vary with firm-level size and book-to-market value. to verify the above...