ISSN 1008-2204
CN 11-3979/C

基于修正高阶DFA法的股市长期相关性检验

The Modified High Order DFA Test of Long-range Correlations in Stock Market

  • 摘要: DFA法是检验非平稳时间序列长期相关性的有效方法,但当时间序列包含高阶趋势时,DFA方 法在较小标度上会产生偏差。从分析长期相关性的本质内涵出发,引入一种修正的DFA 方法来改进这一不足。基于中国股票市场的实际数据,发现修正DFA方法较好地纠正了偏差 ,准确检验到中国股市存在的长期相关行为。

     

    Abstract: The DFA method is an efficient method to test the long-range correlations in no n-stationary time series, which will induce bias in small scale when the series have high order trend. From the basic standpoint of long-range correla tion, a modified DFA method is used to solve the drawback. Based on the real da ta of Chinese stock markets, the new method removes the bias and exactly tesitfi es the long-range correlations behaviour in our stock markets.

     

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