Can wavelets produce a clearer picture of weak-form market efficiency in Bitcoin?

Andrew Phiri

Eurasian Economic Review, 2022, vol. 12, issue 3, No 1, 373-386

Abstract: Abstract This study proposes a new approach for testing for random walk behavior in daily Bitcoin returns (19/07/2010–03/03/2022) by contextualizing the Dickey-Fuller test in time-frequency space using continuous complex wavelet transforms. By splitting our full sample into smaller sub-sample periods segregated by Bitcoin halving dates, we find that Bitcoin returns are most predictable or least market efficient (i) at higher frequency or short-run cycles of between 2 and 16 days, (ii) between November-February months, (iii) during ‘bubble’ periods, (iv) across the consecutive halving dates, (v) during the ‘Black Swan event’ caused by financial market turmoil arising from the COVID-19 pandemic, and (vi) subsequent to the announcements of new COVID-19 variants. Altogether, our findings have important policy implications for different stakeholders in Bitcoin markets.

Keywords: Bitcoin; Efficient market hypothesis (EMH); Adaptive market hypothesis (AMH); Random walks; Wavelet coherence (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s40822-022-00214-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:eurase:v:12:y:2022:i:3:d:10.1007_s40822-022-00214-8

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40822

DOI: 10.1007/s40822-022-00214-8

Access Statistics for this article

Eurasian Economic Review is currently edited by Dorothea Schäfer

More articles in Eurasian Economic Review from Springer, Eurasia Business and Economics Society Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().