Dr Yingchao Zhang yingchao.zhang@durham.ac.uk
Assistant Professor
Choice of Information Learning: Evidence from Revisiting Price Discovery during the 2006 Dual Listing Craze in China
Zhang, Y.; Gao, X.; Niu, S.
Authors
X. Gao
S. Niu
Abstract
Extant studies have proposed information choice models to explain the home bias puzzle. In this paper, we explore information asymmetries among local and non-local investors which are captured by market microstructure variables to explain the reper-cussions of their information choices. We examine the short-run price dynamics, co-integrating relations, and price discovery processes of cross-listed Chinese firms. Using high-frequency data over the year 2006 of dual listing craze in history, we find that the local A-share market contributes to the price discovery for 68% to 75% of the firms, which is far more than the contribution of the non-local H-share market. Our results support the learning choice model and suggest that local Chinese investors may be endowed with a small home information advantage and their learning choices magnify information asymmetry. As such, the local stock market incorporates new information faster and contributes more to the price discovery of dual-listed firms in mainland China.
Citation
Zhang, Y., Gao, X., & Niu, S. (2021). Choice of Information Learning: Evidence from Revisiting Price Discovery during the 2006 Dual Listing Craze in China. Theoretical Economics Letters, 11(6), 1165-1182. https://doi.org/10.4236/tel.2021.116074
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 29, 2021 |
Publication Date | 2021-12 |
Deposit Date | Nov 19, 2021 |
Publicly Available Date | Apr 12, 2023 |
Journal | Theoretical Economics Letters |
Print ISSN | 2162-2078 |
Electronic ISSN | 2162-2086 |
Publisher | Scientific Research Publishing |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 6 |
Pages | 1165-1182 |
DOI | https://doi.org/10.4236/tel.2021.116074 |
Public URL | https://durham-repository.worktribe.com/output/1224023 |
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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