Portfolio implications based on quantile connectedness among cryptocurrency, stock, energy, and safe-haven assets

Yulian Zhang and Shigeyuki Hamori

Journal of Commodity Markets, 2025, vol. 39, issue C

Abstract: We employ a quantile time-frequency connectedness model to investigate the interdependencies among four asset groups: cryptocurrencies (Bitcoin, Ethereum, and BNB), stocks (S&P 500, Euro Stoxx 50, FTSE 100, and Nikkei 225), safe-haven assets (gold, the US dollar, and treasury bills), and energy markets (oil, gas, coal, and electricity), using daily data from November 2017 to November 2024 (1625 observations). Our results reveal that, under normal market conditions, markets are more affected by their own shocks than by cross-market spillovers. This indicates that investors should pay closer attention to endogenous risks during stable periods. Moreover, we find that diversification across different asset classes is more effective under normal conditions, while investing within the same group may be more appropriate during bullish or bearish market phases. Market uncertainty also tends to rise as conditions become more extreme. This study is the first to confirm quantile-based connectedness both within and across asset classes in the time-frequency domain. Our findings contribute to a deeper understanding of market interactions and offer practical insights for investment decisions, portfolio management, and regulatory policy in an increasingly interconnected global financial environment.

Keywords: Quantile connectedness; Group connectedness; Portfolio management; Cryptocurrency (search for similar items in EconPapers)
JEL-codes: C18 C32 G11 Q40 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2405851325000388
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:jocoma:v:39:y:2025:i:c:s2405851325000388

DOI: 10.1016/j.jcomm.2025.100494

Access Statistics for this article

Journal of Commodity Markets is currently edited by Marcel Prokopczuk, Betty Simkins and Sjur Westgaard

More articles in Journal of Commodity Markets from Elsevier
Bibliographic data for series maintained by Catherine Liu ().