Return volatility and trading volume of GameFi
Guiqiang Shi,
John W. Goodell and
Dehua Shen
Journal of Behavioral and Experimental Finance, 2024, vol. 43, issue C
Abstract:
Focusing on GameFi, we test theories regarding the relationship between return volatility and trading volume. These theories include the Mixture of Distribution Hypothesis (MDH) and the Sequential Information Arrival Hypothesis (SIAH). Empirical results indicate rejection of MDH and support for SIAH. These results are robust to alternative measurements of trading volume and return volatility. Subperiod analysis further reveals that SIAH is more pronounced during periods of high investor attention and low economic uncertainty. The results will be of interest to scholars interested in the robustness of established financial theories for revolutionary financial products.
Keywords: GameFi; Return volatility; SIAH; MDH; Investor attention; Economic uncertainty (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2214635024000704
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:beexfi:v:43:y:2024:i:c:s2214635024000704
DOI: 10.1016/j.jbef.2024.100955
Access Statistics for this article
Journal of Behavioral and Experimental Finance is currently edited by Michael Dowling and Jürgen Huber
More articles in Journal of Behavioral and Experimental Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().