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基于分形RS技术的中国股市非规则周期性研究 被引量:6

The Analysis of Irregular Periodicity of Stock Market in China Based on Fractal R/S Technique
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摘要 It is unnecessary that Fractal Rescaled Range regarded as the non-parameter statistical method assumes the distributional characteristics beforehand,which analysis consequences have powerful stability.The Hurst exponent and Peters’s Vn Statistic are computed by compiling R/S program with Matlab 70 software package in order to determine the statistical cyclical length,i.e.,the period-span of long-memory.Knee position,periodical point position,is like the terminal place of sensitive dependence of initial conditional value in chaos phenomenon. It is unnecessary that Fractal Rescaled Range regarded as the non-parameter statistical method assumes the distributional characteristics beforehand, which analysis consequences have powerful stability. The Hurst exponent and Peters's Vn Statistic are computed by compiling R/S program with Maflab 7.0 software package in order to determine the statistical cyclical length, i. e., the period-span of longmemory. Knee position, periodical point position, is like the terminal place of sensitive dependence of initial conditional value in chaos phenomenon.
作者 夏南新
出处 《统计研究》 CSSCI 北大核心 2006年第2期28-31,共4页 Statistical Research
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参考文献2

  • 1Edgar E.Peters.Fractal Market Analysis[M],John Wiley & Sons,Inc.,1994,53 ~ 79.
  • 2Lo,A.The Term Memory in Stock Market Prices[J].NBER Working Paper 2984.Washington.DC:National Bureau of Economic Research,1989.

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