Origins of the multifractality in Shanghai stock market

被引:0
|
作者
Jin, H. [1 ]
Lu, J. Z.
机构
[1] Shanghai Dianji Univ, Dept Math & Phys, Shanghai 200240, Peoples R China
[2] Shanghai Normal Univ, Dept Phys, Shanghai 200234, Peoples R China
关键词
D O I
10.1393/ncb/i2006-10026-3
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We use the MultiFractal Detrended Fluctuation Analysis (MFDFA) to study the multifractality of daily return series of Shanghai Stock Exchange (SSE) composite index. There are two main origins of multifractality dynamics of the returns: fat-tailed distributions of Probability Density Function (PDF) and long-range correlations of the series. By analyzing the multifractality singularity spectrum of original, shuffled and surrogated series respectively, we find that both components influence the multifractality in Shanghai stock market and their contributions are almost equal. This phenomena is quite different from the comparing result of NASDAQ composite index, where the multifractality from the fat-tailed probability distributions is dominating.
引用
收藏
页码:987 / 994
页数:8
相关论文
共 50 条
  • [1] Is the efficiency of stock market correlated with multifractality? An evidence from the Shanghai stock market
    Gu, Rongbao
    Shao, Yanmin
    Wang, Qingnan
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2013, 392 (02) : 361 - 370
  • [2] Multifractality of the KOSPI in Korean stock market
    Lee, KE
    Lee, JW
    [J]. JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2005, 46 (03) : 726 - 729
  • [3] Investigation of multifractality in the Brazilian stock market
    Maganini, Natalia Diniz
    Da Silva Filho, Antonio Carlos
    Lima, Fabiano Guasti
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 497 : 258 - 271
  • [4] A risk measure of the stock market that is based on multifractality
    Wang, Yi
    Sun, Qi
    Zhang, Zilu
    Chen, Liqing
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 596
  • [5] Multifractality of the Istanbul and Moscow stock market returns
    Balcilar, M
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2003, 39 (02) : 5 - 46
  • [6] Multifractality and herding behavior in the Japanese stock market
    Cajueiro, Daniel O.
    Tabak, Benjamin M.
    [J]. CHAOS SOLITONS & FRACTALS, 2009, 40 (01) : 497 - 504
  • [7] Time Evolution of Market Efficiency and Multifractality of the Japanese Stock Market
    Takaishi, Tetsuya
    [J]. JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2022, 15 (01)
  • [8] Origin of the multifractality of the Korean stock-market index
    Lee, KE
    Lee, JW
    [J]. JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2005, 47 (02) : 185 - 188
  • [9] Modeling Shanghai stock market volatility
    J. Xu
    [J]. Annals of Operations Research, 1999, 87 : 141 - 152
  • [10] Future trend of the Shanghai stock market
    Wang, W
    Okunbor, D
    Lin, FC
    Gu, FJ
    [J]. ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE, 2002, : 2320 - 2324