Corbet, Shaen ORCID: 0000-0001-7430-7417, Hou, Yang (Greg) ORCID: 0000-0003-0017-9912, Ho, Yang and Oxley, Les ORCID: 0000-0003-3621-2323 (2020) The influence of the COVID-19 pandemic on asset-price discovery: Testing the case of Chinese informational asymmetry. International Review of Financial Analysis, 72 . pp. 1-32. ISSN 1057-5219
Abstract
The circumstances surrounding the outbreak of the COVID-19 pandemic have generated substantial international political strain as governments attempt to mitigate the widespread associated social and economic repercussions. One theory has focused on the potential for Chinese informational asymmetry. Using Chinese financial market data, we attempt to establish the scale and direction of information flows during multiple distinct
phases of the development of the pandemic. Two specific results are identified. Firstly, the majority of domestically-traded Chinese stocks present evidence of significant information flows at a far earlier stage than
internationally-traded comparatives, suggesting that domestic investors recognised the dangers associated with
COVID-19 far in advance of the rest of the world. One potential explanation surrounds the view that the severity
of domestically-reported Chinese news was not appropriately recognised by international investors. Secondly,
while evidence of safe-haven and flight-to-safety behaviour is evident throughout traditional energy and precious metal markets, cryptocurrencies became informationally-synchronised with Chinese equity markets, indicating their use as an investor safe-haven. This is a particularly concerning outcome for international policymaker and regulatory authorities due to the fragility of these developing markets.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Additional Information: | Article number: 101560 |
Uncontrolled Keywords: | COVID-19; Coronavirus; China; Price discovery; Information asymmetry |
Subjects: | Business > Finance |
DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School |
Publisher: | Elsevier |
Official URL: | https://dx.doi.org/10.1016/j.irfa.2020.101560 |
Copyright Information: | © 2020 The Authors. Open access. (CC-BY-4.0) |
ID Code: | 25900 |
Deposited On: | 26 May 2021 14:13 by Thomas Murtagh . Last Modified 09 Jun 2021 15:16 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
4MB |
Metrics
Altmetric Badge
Dimensions Badge
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record