Multifractality, efficiency analysis of Chinese stock market and its cross-correlation with WTI crude oil price

被引:40
|
作者
Zhuang, Xiaoyang
Wei, Yu
Ma, Feng
机构
[1] School of Economics and Management, Southwest Jiaotong University, First Section of Northern Second Ring Road, Chengdu
基金
中国国家自然科学基金;
关键词
Multifractality degree; Efficiency index; Rolling window; Sectoral indices; DETRENDED FLUCTUATION ANALYSIS; BECOMING WEAKLY EFFICIENT; LONG-RANGE DEPENDENCE; HURST EXPONENT; TIME-SERIES; VOLATILITY; MEMORY; YUAN;
D O I
10.1016/j.physa.2015.02.085
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, the multifractality and efficiency degrees of ten important Chinese sectoral indices are evaluated using the methods of MF-DFA and generalized Hurst exponents. The study also scrutinizes the dynamics of the efficiency of Chinese sectoral stock market by the rolling window approach. The overall empirical findings revealed that all the sectoral indices of Chinese stock market exist different degrees of multifractality. The results of different efficiency measures have agreed on that the 300 Materials index is the least efficient index. However, they have a slight diffidence on the most efficient one. The 300 Information Technology, 300 Telecommunication Services and 300 Health Care indices are comparatively efficient. We also investigate the cross-correlations between the ten sectoral indices and WTI crude oil price based on Multifractal Detrended Cross-correlation Analysis. At last, some relevant discussions and implications of the empirical results are presented. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:101 / 113
页数:13
相关论文
共 50 条
  • [21] Testing the weak-form efficiency of the WTI crude oil futures market
    Jiang, Zhi-Qiang
    Xie, Wen-Jie
    Zhou, Wei-Xing
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 405 : 235 - 244
  • [22] Statistical properties of cross-correlation in the Korean stock market
    Oh, G.
    Eom, C.
    Wang, F.
    Jung, W. -S.
    Stanley, H. E.
    Kim, S.
    EUROPEAN PHYSICAL JOURNAL B, 2011, 79 (01): : 55 - 60
  • [23] Statistical properties of cross-correlation in the Korean stock market
    G. Oh
    C. Eom
    F. Wang
    W.-S. Jung
    H. E. Stanley
    S. Kim
    The European Physical Journal B, 2011, 79 : 55 - 60
  • [24] The contagion effect of international crude oil price fluctuations on Chinese stock market investor sentiment
    Ding, Zhihua
    Liu, Zhenhua
    Zhang, Yuejun
    Long, Ruyin
    APPLIED ENERGY, 2017, 187 : 27 - 36
  • [25] Revisiting Crude Oil Price and China's Stock Market
    Ding, Haoyuan
    Fan, Haichao
    Wang, Huanhuan
    Xie, Wenjing
    ANNALS OF ECONOMICS AND FINANCE, 2017, 18 (02): : 377 - 391
  • [26] Cross-correlation analysis of crude oil and new energy markets: A new perspective based on carbon emission market
    FENG You-shuai
    LING Mei-jun
    Ecological Economy, 2019, 15 (01) : 2 - 18
  • [27] Structure of cross-correlation between stock and oil markets
    Yan, Shuang
    Li, Shan
    Wang, Haiying
    Gu, Changgui
    Yang, Huijie
    EPL, 2022, 138 (06)
  • [28] Cross-Correlation Analysis of Crude Oil-Related Stock Markets in China Caused by the Conflict Between Russia and Ukraine
    Wang, Jian
    Jiang, Wenjing
    Huang, Menghao
    Shao, Wei
    COMPUTATIONAL ECONOMICS, 2024, 65 (3) : 1299 - 1317
  • [29] Relaxing Daily Price Limits and Stock Market Cross-Correlation: Evidence from MF-X-DMA Analysis
    Ruan, Qingsong
    Hu, Sumiya
    Zhang, Jiarui
    Chu, Xiaolin
    Lv, Dayong
    FLUCTUATION AND NOISE LETTERS, 2023,
  • [30] Multifractal detrended cross-correlation analysis on benchmark cryptocurrencies and crude oil prices
    Ghazani, Majid Mirzaee
    Khosravi, Reza
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 560