in this paper we investigate the effect of oil price shocks on stock market index in iran, by using of a structural var (svar) approach. we used four variables in the model namely kilian index, global oil supply, real oil price and real stock market index. the data are monthly and spanning the period 1997m10-2014m12. we identify the effect of four different shocks on stock market including oil ...

the paper investigates the effects of interest rates on stock market performance by using monthly time series data for the economy of bangladesh over the period of 1991 to 2012. a wide range of econometric techniques have been employed to analyze the relationship between the interest rate and stock market return. the study reveals a stable and significant long run relationship between the varia...

In this paper we investigate the effect of oil price shocks on stock market index in Iran, by using of a structural VAR (SVAR) approach. We used four variables in the model namely Kilian index, global oil supply, real oil price and real stock market index. The data are monthly and spanning the period 1997M10-2014M12. We identify the effect of four different shocks on stock market including oil ...

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...

• This paper investigates the distribution characteristics of stock market liquidity. • This paper utilizes the GAMLSS model and high-frequency data from Chinese stock markets. • The mean and variance of stock market liquidity move in the opposite directions. • The stock market liquidity normally exhibits a positive skewness. • The stock market liquidity exhibits a normal distribution at a low ...