Artikel

Cryptocurrencies, gold, and WTI crude oil market efficiency: A dynamic analysis based on the adaptive market hypothesis

This study examined the evolving oil market efficiency by applying daily historical data to the three benchmark cryptocurrencies (Bitcoin, Ethereum, and Ripple), gold, and West Texas Intermediate (WTI) crude oil. The data coverage of daily returns was from August 2015 to April 2019. We applied two alternative tests to examine linear and nonlinear dependency, i.e., automatic portmanteau and generalized spectral tests. The analysis of observed results validated the adaptive market hypothesis (AMH) in all markets, but the degree of adaptability between the data was different. In this study, we also analyzed the existence of evolutionary behavior in the market. To achieve this goal, we checked the results by applying the rolling-window method with three different window lengths (50, 100, and 150 days) on the test statistics, which was consistent with the findings of AMH.

Sprache
Englisch

Erschienen in
Journal: Financial Innovation ; ISSN: 2199-4730 ; Volume: 7 ; Year: 2021 ; Issue: 1 ; Pages: 1-26 ; Heidelberg: Springer

Klassifikation
Management
Thema
Adaptive market hypothesis
Cryptocurrency
Evolutionary
Market efficiency
Rolling windows

Ereignis
Geistige Schöpfung
(wer)
Mirzaee Ghazani, Majid
Jafari, Mohammad Ali
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2021

DOI
doi:10.1186/s40854-021-00246-0
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Mirzaee Ghazani, Majid
  • Jafari, Mohammad Ali
  • Springer

Entstanden

  • 2021

Ähnliche Objekte (12)