Testing for herding in the cryptocurrency market
Antonis Ballis and
Konstantinos Drakos
Finance Research Letters, 2020, vol. 33, issue C
Abstract:
The study investigates whether herding behavior is present in the rapidly emerging cryptocurrency market. By analyzing daily data from major cryptocurrencies during the period August 2015 to December 2018, we find evidence that investors in the cryptocurrency market act irrationally and imitate other's decisions with no reference to their own beliefs. Furthermore, our empirical results provide evidence that the up-events market dispersion follows market movements at a faster pace compared to the down events. Thus, cryptocurrencies show a behavior where they tend to move in tandem, which does not necessarily reflect their fundamentals.
Keywords: Behavioral finance; Herd behavior; Cryptocurrencies; Bitcoin (search for similar items in EconPapers)
JEL-codes: G14 G15 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (42)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612319301643
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:finlet:v:33:y:2020:i:c:s1544612319301643
DOI: 10.1016/j.frl.2019.06.008
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().