EconPapers    
Economics at your fingertips  
 

Exploring the dynamic nexus of traditional and digital assets in inflationary times: The role of safe havens, tech stocks, and cryptocurrencies

Konstantinos A. Dimitriadis, Demetris Koursaros and Christos S. Savva

Economic Modelling, 2025, vol. 151, issue C

Abstract: This study explores the dynamic interactions among traditional safe havens (gold), high-tech stocks, and cryptocurrencies (both non-green and green) during inflationary periods. It addresses a key gap in understanding the complementarity and substitutability of financial instruments when conventional currencies lose value. Using a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model and dynamic network connectedness analysis, we identify three main findings: (1) Gold consistently behaves as a spillover absorber, reinforcing its role as a crisis hedge; (2) crisis-type does matter - non-green cryptocurrencies dominate during geopolitical shocks (e.g., the Russia–Ukraine war) which tend to be inflationary, while green cryptocurrencies gain prominence during non-inflationary health crises (e.g., COVID-19); (3) High-tech stocks and sectoral indices (e.g., Financials, Industrials); lead in stable periods, serving as modern portfolio anchors. These results suggest an ongoing financial evolution - from gold to green crypto - as newer digital assets demonstrate increasing resilience compared to traditional safe-haven assets in times of uncertainty.

Keywords: Tech stocks; Green cryptocurrencies; Sectoral indices; TVP-VAR; Network connectedness; Inflationary periods (search for similar items in EconPapers)
JEL-codes: G01 G12 G15 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999325001907
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:ecmode:v:151:y:2025:i:c:s0264999325001907

DOI: 10.1016/j.econmod.2025.107195

Access Statistics for this article

Economic Modelling is currently edited by S. Hall and P. Pauly

More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-09-09
Handle: RePEc:eee:ecmode:v:151:y:2025:i:c:s0264999325001907