Grey topological prediction method and implication in China’s stock market price indez
Stock index in security market directly reflects the trend and level of the overall market stock price. Therefore, the price prediction directly affects investment decisions and is closely related to economic interest of investors. However, with specific volatility and uncertainty in stock market, changes in stock price index are influenced by many factors, which make it very difficult for the traditional forecasting methods to achieve effective results. The gray system theory founded in late 20th century has been applied to stock market forecast and has made some achievements. In order to explore the effective way of forecasting stock index in Chinas stock market, this article adopts gray topological prediction method and builds a gray topological prediction model to predict the trend of stock index and the level according to Chinas stock market index changes. Furthermore, we verify the model using the Shanghai Composite index (closing price) and obtain satisfactory results .By providing a large number of stock investors with an effective way to predict the stock price index, the model is meaningful to improve the investment efficiency and minimize investment risks.
Sun Tao Li Weijia
Nanjing University of Aeronautics&Astronautics,Jiangsu, China
国际会议
2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)
南京
英文
614-618
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）