Title :
The Forecasting Research of Stock Price Index by the Symbol Sequence
Author :
Ying, Yuan ; Xin-Tian, Zhuang
Author_Institution :
Sch. of Bus. Adm., Northeastern Univ.
Abstract :
Using two kinds of symbol sequence as the condition, this paper presents an empirical research on the data of Shanghai stock price index. One is the symbol sequence of closing index; the other is the symbol sequence of multifractal spectrum parameter. The result shows that, the Shanghai stock market is not totally efficient, the index fluctuating is not strictly random, and either of these two conditional probabilities has the forecasting capacity. It is also found that the correlation between the condition of different symbol sequences and the larger fluctuation of stock price index is stronger than the correlation between the condition and the smaller fluctuation of stock price index when threshold values are greater. These remarks can be used to predict the probability of the near future price movements
Keywords :
economic indicators; forecasting theory; probability; sequences; stock markets; Shanghai stock price index forecasting; multifractal spectrum parameter; probability; symbol sequence; Capacity planning; Cotton; Economic forecasting; Exchange rates; Fluctuations; Fractals; Gaussian distribution; Probability distribution; Stock markets; Sun; Fluctuating; Forecasting; Symbol sequence;
Conference_Titel :
Management Science and Engineering, 2006. ICMSE '06. 2006 International Conference on
Conference_Location :
Lille
Print_ISBN :
7-5603-2355-3
DOI :
10.1109/ICMSE.2006.314035