The prevalence of price overreactions in the cryptocurrency market
Oliver Borgards and
Robert Czudaj
Journal of International Financial Markets, Institutions and Money, 2020, vol. 65, issue C
Abstract:
This paper examines the prevalence of price overreactions for twelve cryptocurrencies compared to the US stock market. For this purpose, we implement a dynamic modeling approach to define and test for overreactions for interday and various intraday price levels. We find evidence that price overreactions are highly prevalent in the cryptocurrency market for all frequencies, strongly supporting the overreaction hypothesis. This result is largely comparable for cryptocurrency and stock markets despite the fact that both markets are fundamentally different. However, the returns of an overreaction trading strategy are significantly higher for cryptocurrencies due to larger overreactions as the most important factor for profitability. In addition, our results also show that negative overreactions are slightly more prevalent than positive overreactions.
Keywords: Cryptocurrency; Overreaction; Mean reversion; Turning point; Stock market (search for similar items in EconPapers)
JEL-codes: C14 G12 G14 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1042443120300780
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:intfin:v:65:y:2020:i:c:s1042443120300780
DOI: 10.1016/j.intfin.2020.101194
Access Statistics for this article
Journal of International Financial Markets, Institutions and Money is currently edited by I. Mathur and C. J. Neely
More articles in Journal of International Financial Markets, Institutions and Money from Elsevier
Bibliographic data for series maintained by Catherine Liu ().