Co-jump dynamicity in the cryptocurrency market: A network modelling perspective
Lei Zhang,
Elie Bouri and
Yan Chen
Finance Research Letters, 2023, vol. 58, issue PB
Abstract:
We examine the co-jumps of 37 cryptocurrencies based on a network model, and analyse the portfolio implications. The results reveal that, firstly, Bitcoin exerts the strongest influence. Secondly, co-jump heterogeneity exists across pairs of cryptocurrencies with different market-capitalizations, and the impact of co-jumps is time-varying. Thirdly, the dynamic ranking of co-jump influence shows that, during the COVID-19 pandemic, Bitcoin dominates in the centrality ranking. However, smaller cryptocurrencies (Dogecoin and TRON) exhibit significant co-jump influence. Fourthly, the portfolios constructed based on the co-jump network outperform the baseline strategy by attaining higher returns while experiencing less volatility and shorter downside periods.
Keywords: Co-jumps network; Bitcoin; Cryptocurrencies; Jump transfer; COVID-19; Portfolio implications (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612323007444
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:58:y:2023:i:pb:s1544612323007444
DOI: 10.1016/j.frl.2023.104372
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 ().