Title :
Empirical Study to the Price Volatility and Information Flow of China Stock
Author :
Liu, Yan-Chun ; Han, Ru-mei ; Liu, Jing
Author_Institution :
Coll. of Bus. Adm., LiaoNing Univ., Shenyang
Abstract :
This article uses the cointegration technique of the econometrics to select the volume of trade and trade times as information flow agent variable and from the point of view of the personal share it makes an empirical study to the relationship between the stock price and the information flow in the bond market. The result indicates that the stock price, trading volume and trading times have the positive correlation. It supports the effect which the trading volume and trading times acting as the information flow agent variables have on the stock price volatility. The result gained has certain reference value to know the microcosmic structure of China stock market and to make the behavior of the market more standard
Keywords :
econometrics; pricing; stock markets; China stock market; cointegration technique; econometrics; empirical method; information flow agent variable; microcosmic structure; stock price volatility; trade times; trade volume; Bonding; Cybernetics; Econometrics; Educational institutions; Electronic mail; Equations; Machine learning; Reflection; Stock markets; TV broadcasting; Testing; Uncertainty; Cointegration; Test of unit root; Volatility; information flow; vector error modified;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258577