Cross-correlations between individual investor sentiment and Chinese stock market return: New perspective based on MF-DCCA

Qingsong Ruan, Haiquan Yang, Dayong Lv, Shuhua Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Using stock market returns of two stock exchanges in China, this paper employs MF-DCCA to investigate the non-linear cross-correlation between individual investor sentimentand Chinese stock market return. We find that there exists a power-law cross-correlation between individual investor sentiment and Chinese stock market return, and the cross-correlations are significantly multifractal. In addition, the cross-correlation between individual investor sentiment and Shenzhen Component Index (SZSE) return is more anti-persistent than that between individual investor sentiment and Shanghai Composite Index (SSEC) return, implying that individual investor sentiment has a stronger impact on small stocks. Besides, long-range correlations, fat-tailed distribution and extreme value all contribute to the multifractality for cross-correlation between individual investor sentiment and SSEC return, while long-range correlation is the main source of multifractality for the cross-correlation between individual investor sentiment and SZSE return.

Original languageEnglish
Pages (from-to)243-256
Number of pages14
JournalPhysica A: Statistical Mechanics and its Applications
Volume503
DOIs
Publication statusPublished - 1 Aug 2018
Externally publishedYes

Keywords

  • China
  • Cross-correlations
  • Individual investor sentiment
  • MF-DCCA

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