We study historical correlations and lead-lag relationships between individual stock risk (volatility of daily stock returns) and market risk (volatility of daily returns of a market-representative portfolio) in the US stock market. We consider the cross-correlation functions averaged over all stocks, using 71 stock prices from the Standard & Poor's 500 index for 1994-2013. We focus on the beha...

Crude oil exerts a strong influence on national economy. Changes of international crude oil price have an important effect on Chinese economy because of China’s high dependence on the import of the crude oil. Thus, Chinese stock market can be shocked by the fluctuation of oil price. Reversely, changes in crude oil imports of China have some effect on demands and price of the crude oil. This art...

Since the 90s of last century, there is a substantial increase of the Chinese equity market and M&A market. In order to explain the phenomenon of the rapid development of Chinese M&A market, the paper introduced EMD method to divide the data into a number of cycle terms, and tried to use the stock market volatility information to explain the factors of Chinese M&A market. Specifically, M&A mark...

Stock trading system to assist decision-making is an emerging research area and has great commercial potentials. Successful trading operations should occur near the reversal points of price trends. Traditional technical analysis, which usually appears as various trading rules, does aim to look for peaks and bottoms of trends and is widely used in stock market. Unfortunately, it is not convenien...

in this paper we examine the effect of the oil volatility, consumer price index (cpi) and industrial production on the stock market return in tehran stock exchange (tse). we used seasonal data in period 1378-1390 and auto regressive distributed method (ardl) for the short-term and long-term relationship between the variables. as results of research indicate, we find that there is positive short...

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...

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...