Abstract
In this paper, the price trading data for every minute from Shanghai A-share stock market has been studied, and the directed complex network model of Chinese stock market has been constructed. By computing cross-correlation between each pair of stocks, it showed that directed complex networks exist in Chinese stock market. Furthermore, using the directed complex network model and the cross-correlation value between different stocks, the moving trends of stock price and the range of it has been predicted. We find that the prediction results are consistent with the real exchange results for most stocks in each trading day except for the first 10 minutes after opening and 8 minutes before the close. After the prediction value is rounded, the average accuracy rate of price prediction with 640 Shanghai A-share stocks can reach to 83%. All of this can be a good guide for stock investors of decision making.
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Chen, H., Sun, Q. (2012). Stock Prediction with Directed Cross-Correlation Network. In: Zhang, Y. (eds) Future Communication, Computing, Control and Management. Lecture Notes in Electrical Engineering, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27311-7_23
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DOI: https://doi.org/10.1007/978-3-642-27311-7_23
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