Modelling the lead-lag relationship between leading cryptocurrencies using BEKK-MGARCH model
Maimoona Sadiq,
Hamid Ullah,
Fayaz Ali Shah and
Amjad Hameed Khattak
Afro-Asian Journal of Finance and Accounting, 2025, vol. 15, issue 5, 557-573
Abstract:
This study examines the lead-lag relationships among leading cryptocurrencies, i.e., Bitcoin, Ethereum, BNB, and Tether. The study analyses cryptocurrency daily prices from August 7, 2015, to July 31, 2022. The Granger causality test indicated a one-way causal relationship between BNB and Ethereum. Bitcoin is bi-directionally related with BNB and Ethereum. However, Tether did not correlate with Bitcoin, BNB or Ethereum. In addition, the GARCH and BEKK-MGARCH models showed two-way shock transmission effects and volatility linkages among these cryptocurrencies. This research deepens the understanding of financial markets and provides investors, regulators, and policymakers with valuable insights. Moreover, this research facilitates stakeholders in achieving optimal portfolio returns by analysing the price relationship and evaluating the capacity of cryptocurrencies to serve as price leaders to one another.
Keywords: cryptocurrency; lead-lag; causality; GARCH; BEKK-MGARCH. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=148669 (text/html)
Access to full text is restricted to subscribers.
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:ids:afasfa:v:15:y:2025:i:5:p:557-573
Access Statistics for this article
More articles in Afro-Asian Journal of Finance and Accounting from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().