Connectedness between sectoral cryptos and counterpart stocks
This study examines the interconnection between sectoral cryptocurrencies and their corresponding stocks across 14 industries from 2022-2024. Using wavelet coherence, we evaluate crypto-stock interconnectedness across multiple investment frequencies and timescales and identify cross-sector patterns using k-means clustering of coherence maps. We conduct two types of analyses: (1) a within-sector dynamics, assessing time-varying connectedness between each crypto-stock pair; and (2) cross-sector grouping to uncover common regimes. Results show weak, fragmented, and short-lived in cloud computing, telecommunications, gaming and gambling, with only sporadic bursts. In contrast, supply chain and education exhibit strong, persistent long-term coherence. Insurance, cybersecurity, and e-commerce display episodic, event-driven coherence, with peaks around policy shifts and major sector news. These findings highlight that crypto-stock connectedness is sector- and horizon-dependent rather than uniform. The evidence informs sector-specific risk management, portfolio construction, and timing of tokenisation strategies, and supports more tailored regulatory oversight.
Authors
- Xiaojun Luo (ORCID: https://orcid.org/0000-0003-4754-9650)
- Ismail Adelopo (ORCID: https://orcid.org/0000-0003-1692-1237)
- Sony Stephen (ORCID: https://orcid.org/0000-0001-5761-8379)
Institutions
- University of the West of England (GB)
Publication Details
- Journal
- Cogent Economics & Finance
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1080/23322039.2025.2549934
- Primary Topic
- Complex Systems and Time Series Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00