Financial liberalization and stock market cross-correlation: MF-DCCA analysis based on Shanghai-Hong Kong Stock Connect

Qingsong Ruan, Shuhua Zhang, Dayong Lv*, Xinsheng Lu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

Based on the implementation of Shanghai-Hong Kong Stock Connect in China, this paper examines the effects of financial liberalization on stock market comovement using both multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DCCA) methods. Results based on MF-DFA confirm the multifractality of Shanghai and Hong Kong stock markets, and the market efficiency of Shanghai stock market increased after the implementation of this connect program. Besides, analysis based on MF-DCCA has verified the existence of persistent cross-correlation between Shanghai and Hong Kong stock markets, and the cross-correlation gets stronger after the launch of this liberalization program. Finally, we find that fat-tail distribution is the main source of multifractality in the cross-correlations before the stock connect program, while long-range correlation contributes to the multifractality after this program.

Original languageEnglish
Pages (from-to)779-791
Number of pages13
JournalPhysica A: Statistical Mechanics and its Applications
Volume491
DOIs
Publication statusPublished - 1 Feb 2018
Externally publishedYes

Keywords

  • Financial liberalization
  • MF-DCCA
  • MF-DFA
  • Shanghai-Hong Kong Stock Connect
  • Stock market cross-correlation

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