Multifractal cross-correlation spectra analysis on Chinese stock markets

Xiaojun Zhao*, Pengjian Shang, Wenbin Shi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

In this paper, the long-range cross-correlation of Chinese stock indices is systematically studied. The multifractal detrended cross-correlation analysis (MF-DXA) appears to be one of the most effective methods in detecting long-range cross-correlation of two non-stationary variables. The Legendre spectrum and the large deviations spectrum are extended to the cross-correlation case, so as to present multifractal structure of stock return and volatility series. It is characterized of the multifractality in Chinese stock markets, partly due to clusters of local detrended covariance with large and small magnitudes.

Original languageEnglish
Pages (from-to)84-92
Number of pages9
JournalPhysica A: Statistical Mechanics and its Applications
Volume402
DOIs
Publication statusPublished - 15 May 2014
Externally publishedYes

Keywords

  • Chinese stock index
  • Cross-correlation
  • Large deviations spectrum
  • Legendre spectrum
  • MF-DXA

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