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The Prediction of Dow Jones Cbn China 600 Inde Based on “Most Updated” GM(1,1) Model and Grey Dynamic Neural Network

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3 Author(s)
Yitao Chen ; China Univ. of Min. & Technol., CUMT, Xuzhou, China ; Li Tao ; Haibo Li

Dow Jones Cbn China 600 Inde is a measure of an indicator of the stock which China's domestic investors can invest in. Through the prediction of the Dow Jones Cbn China 600 Inde, we can predict the future development trend of China's Stock Market. In this paper, we established prediction models based on "most updated" GM(1,1) model and grey dynamic neutral network. The Dow Jones Cbn China 600 Inde is divided into trend item and fluctuation item, which are predicted by "most updated" GM(1,1) model and grey dynamic neutral network respectively. Consequently, we get the prediction result of Dow Jones Cbn China 600 Inde, and find this method has a high accuracy.

Published in:

Information and Computing (ICIC), 2010 Third International Conference on  (Volume:4 )

Date of Conference:

4-6 June 2010