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.

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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
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article

Connectedness between sectoral cryptos and counterpart stocks

Xiaojun Luo, Ismail Adelopo, Sony Stephen
Cogent Economics & Finance
Complex Systems and Time Series Analysis
article

Connectedness between sectoral cryptos and counterpart stocks

Xiaojun Luo, Ismail Adelopo, Sony Stephen
article en

Abstract

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.

Cogent Economics & FinanceVol. 13(1)
University of the West of England (GB)
Decent work and economic growth
Openalex Percentile: Top 70%
Complex Systems and Time Series Analysis
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Connectedness between sectoral cryptos and counterpart stocks — Xiaojun Luo, Ismail Adelopo, et al. · Cogent Economics & Finance (2025) | TGRS Research Map | TGRS