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上海证券市场的多重分形特性分析 被引量:22

Multifractal Analysis on Shanghai Stock Market
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摘要 作者将多重分形分析的三种方法(配分函数分析法、奇异谱分析法和多重分形趋势消除波动分析法)应用于我国上海证券市场在过去七年中的收盘指数序列,分析了不同时间标度对多重分形特性的影响.结果表明:上海证券市场具有弱多重分形特征,标度不变性达到六个数量级;多重分形的形状不随时间标度的改变而改变,但其强度随标度的减小而减弱;随着配分阶数的增大,多重分形随之增强,奇异谱曲线越来越粗糙,广义赫斯特指数逐渐减小.这些结果为进一步研究证券市场价格变化的动力学机理提供了坚实的实证基础. In this article, we use throe multifractal analysis methods, which are partition function method, singular spectrum method and multifractal detrended fluctuation method, to analyse the closing price series during the past seven years in Shanghai Stock Market with different time scales. We have conclusions that Shanghai Stock Market has weak multifractal features, its shape does not change with time scales, but its strength weakens with the scale shortening. With the order of paritition function incrosing, the multifractal strength incroses, the singular spectrum curve becomes rougher and the general Hurst exponent decroses. These results provide solid empirical base for further research of the dynamic mechanism of stock market price series.
出处 《系统工程理论与实践》 EI CSCD 北大核心 2007年第10期40-47,共8页 Systems Engineering-Theory & Practice
关键词 证券市场 价格序列 多重分形分析 stock market price series multifractal analysis
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参考文献15

  • 1[美]埃德加·E·彼得斯.分形市场分析[M].北京:经济科学出版社,2002.
  • 2Johannes A.Skjeltorp.Scaling in the Norwegian stock market[J].Physica A,2000,283:486-528.
  • 3Peng C -K,Buldyrev S V,et al.Mosaic organization of DNA nucleotides[J].Physical Review E,1994,49(2):1685-1689.
  • 4Hiroaki Katsuragi.Evidence of multi-affinity in the Japanese stock market[J].Physica A,2000,278:275-281.
  • 5Sun X,Chen H P,et al.Multifractal analysis of Hang Seng index in Hong Kong stock market[J].Physica A,2001,291:553 -562.
  • 6Rogério L.Costa,Vasconcelos G L.Long-range correlations and nonstationarity in the Brazilian stock market[J].Physica A,2003,329:231-248.
  • 7Ding-Shun Ho,Chung-Kung Lee,et al.Scaling characteristics in the Taiwan stock market[J].Physica A,2004,332:448 -460.
  • 8卢方元.中国股市收益率的多重分形分析[J].系统工程理论与实践,2004,24(6):50-54. 被引量:50
  • 9魏宇,黄登仕.基于多标度分形理论的金融风险测度指标研究[J].管理科学学报,2005,8(4):50-59. 被引量:39
  • 10Luciano Telesca,Vincenzo Lapenna,et al.Mono-and multi-fractal investigation of scaling properties in temporal patterns of seismic sequences[J].Chaos,Solitons and Fractals,2004,19:1-15.

二级参考文献31

  • 1[1]Barabasi A L, Vicsek T. Multifractality of self-affine fractals[J]. Phys Rev A, 1991, 44:2730-2733.
  • 2[2]Peitgen H O, Jurgens H, Saupe D. Chaos and Fractals[M]. New York: Springer, 1992 (Appendix B).
  • 3[3]Bacry E, Delour J, Muzy J F. Multifractal random walks[J]. Phys Rev E, 2001, 64:026103-026106.
  • 4[4]Ivanov P Ch, Amaral L A N, Goldberger A L, et al. Multifractality in human heartbeat dynamics[J]. Nature,1999,399:461-465.
  • 5[5]Amaral L A N, Ivanov P Ch, Aoyagi N, et al. Behavioral-independent features of complex heartbeat dynamics Phys[J]. Rev Lett, 2001, 86:6026-6029.
  • 6[6]Silchenko A, Hu C K. Multifractal characterization of stochastic resonance[J]. Phys Rev E, 2001, 63:041105-041115.
  • 7[7]Kantelhardt J W, Stephan A Z, Eva K B, et al. Multifractal detrended fluctuation analysis of nonstationary time series[J]. Physica A, 2002, 316: 87-114.
  • 8[8]Schmitt F, Shertze D, lovejoy S. Multifractal fluctuations in finance[J].International Journal of Theoretical and Applied Finance,2000,(3):361-364.
  • 9[9]bouchaud J P, Potters M,Meyer M. Apparent multifractality in financial time series[J].Eur Phys J B, 2000,13:595-599.
  • 10[10]Muzy J F,Delour J,Bacry E. Modeling fluctuation of financial time series: from cascade process to stochastic volatility mode[J].Eur. Phys. J. B,2000,17:537-548.

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