Time-varying dependence of Bitcoin
Adlane Haffar and
Éric Le Fur
The Quarterly Review of Economics and Finance, 2022, vol. 86, issue C, 211-220
Abstract:
This paper analyzes Bitcoin investment in terms of portfolio diversification. Over the period July 2011-April 2021, we use the copula-GARCH approach to test the time-varying dependence of Bitcoin in a portfolio composed of six stock markets (CAC40, DJIA, EUROSTOXX50, FTSE100, HANGSENG, and NIKKEI225). Our results reveal that volatility modeling provides better results with the Dynamic Conditional Correlation model. The performance of the portfolio is largely due to the high returns of Bitcoin which allows for better portfolio diversification. As a result, there is a mitigation of the extreme rates of return associated with crypto-currencies. Finally, while Bitcoin's contribution to the portfolio is more attributable to its risk than its return, it does play a role in stabilizing portfolio performance, for varying levels of risk.
Keywords: Bitcoin; Copula-GARCH model; Portfolio diversification; Portfolio risk; Robust MCD portfolio (search for similar items in EconPapers)
JEL-codes: C58 G11 G12 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1062976922000862
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:quaeco:v:86:y:2022:i:c:p:211-220
DOI: 10.1016/j.qref.2022.07.008
Access Statistics for this article
The Quarterly Review of Economics and Finance is currently edited by R. J. Arnould and J. E. Finnerty
More articles in The Quarterly Review of Economics and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().