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基于EMD的中国股票市场分形特征研究
Fractal Charateristics of China’s Stock Market Based on EMD Method
【摘要】 为揭示我国股票市场的分形特征,利用经验模态分解及重标极差分析法(R/S:Rescaled Range Analysis)探究中国股票市场的特征,利用经验模态分解方法对沪深300指数的收盘价格对数收益率进行分析,并采用分形理论中的R/S分析法对固有模态函数进行实证研究,以揭示我国股票市场的分形特征。实验结果表明,我国股票市场具有显著的自相似性,分解后的收益率序列是有偏的随机游走过程。
【Abstract】 Fractal structure features of China’s stock market by EMD( Empirical Mode Decomposition) and( R/S: Rescaled Range Analysis) analysis method is explored. It is analyzed that the CSI 300 index closing price logarithmic return rate by using empirical mode decomposition method,using R / S analysis of fractal theory to research empirical mode function to reveal the fractal characters of Chinese stock market. the final result shows that Chinese stock market has obvious self-similarity,the yield of the decomposed sequences is biased random walk process.
【Key words】 high frequency; empirical mode decomposition; Hurst moving average index; fractal characteristics;
- 【文献出处】 吉林大学学报(信息科学版) ,Journal of Jilin University(Information Science Edition) , 编辑部邮箱 ,2016年03期
- 【分类号】F832.51;O211.61
- 【被引频次】10
- 【下载频次】260