TY - JOUR
T1 - Cross-correlations between individual investor sentiment and Chinese stock market return
T2 - New perspective based on MF-DCCA
AU - Ruan, Qingsong
AU - Yang, Haiquan
AU - Lv, Dayong
AU - Zhang, Shuhua
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - 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.
AB - 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.
KW - China
KW - Cross-correlations
KW - Individual investor sentiment
KW - MF-DCCA
UR - http://www.scopus.com/inward/record.url?scp=85043394457&partnerID=8YFLogxK
U2 - 10.1016/j.physa.2018.02.076
DO - 10.1016/j.physa.2018.02.076
M3 - Article
AN - SCOPUS:85043394457
SN - 0378-4371
VL - 503
SP - 243
EP - 256
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
ER -