On the changing structure among Chinese equity markets: Hong Kong, Shanghai, and Shenzhen
Wei Huang,
Pei-Chun Lai and
David Bessler ()
European Journal of Operational Research, 2018, vol. 264, issue 3, 1020-1032
Abstract:
This study investigates information discovery among five Chinese equity markets measured daily over the period 1995–2014. We employ time series methods for finding structural breaks (if any) and uncovering both short-run and long-run fluctuations. We apply a new algorithm of inductive causation for use with non-Gaussian data to study the information flows in contemporaneous time. The empirical results show that there are four break dates and that the underlying causal models changed over our study period. The Shanghai A-share market dominates the other markets in the most recent period.
Keywords: Information flow; Chinese stock market; Structure change; Structural VAR; Linear non-Gaussian acyclic model (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221717300541
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:264:y:2018:i:3:p:1020-1032
DOI: 10.1016/j.ejor.2017.01.019
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().