Yueting Cui
Numerological Superstitions and Market-Wide Herding: Evidence from China
Cui, Yueting; Gavriilidis, Konstantinos; Gebka, Bartosz; Kallinterakis, Vasileios
Authors
Konstantinos Gavriilidis
Bartosz Gebka
Dr Vasileios Kallinterakis vasileios.kallinterakis@durham.ac.uk
Associate Professor
Abstract
We empirically investigate the effect of traditional Chinese numerological superstitions over market-wide herding in the Shanghai and Shenzhen stock exchanges for the 2000–2020 period, based on a classification of stocks as lucky/unlucky contingent on the presence of digits deemed numerologically lucky/unlucky in their tickers. We find no compelling evidence that herding is more pronounced in those superstitious stocks, as compared to the rest of the stock market. Both superstitious stock-types herd exclusively on high-volatility days and exhibit some pronounced patterns in up vs down markets; these effects are not significantly different from the behaviour of non-superstitious stocks, however. Similarly, herding in both superstitious stock-types is largely noise-driven, but the same effect is observed for non-superstitious stocks. The similarities in herding between superstitious and non-superstitious stocks suggest that numerological superstitions do not motivate significantly stronger herding in Chinese markets.
Citation
Cui, Y., Gavriilidis, K., Gebka, B., & Kallinterakis, V. (2024). Numerological Superstitions and Market-Wide Herding: Evidence from China . International Review of Financial Analysis, 93, Article 103199
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 7, 2024 |
Online Publication Date | Mar 18, 2024 |
Publication Date | 2024-05 |
Deposit Date | Mar 21, 2024 |
Publicly Available Date | Mar 21, 2024 |
Journal | International Review of Financial Analysis |
Print ISSN | 1057-5219 |
Electronic ISSN | 1873-8079 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 93 |
Article Number | 103199 |
Public URL | https://durham-repository.worktribe.com/output/2324554 |
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Publisher Licence URL
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Copyright Statement
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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