Bitcoin and crypto-mining stocks: A quantile connectedness approach

In this paper, we studied the extreme connectedness between Bitcoin and crypto-mining stocks using the quantile connectedness approach of Ando et al. (2022). We estimated the connectedness (i.e., the direction and strength of spillover effects) at the median, extreme lower, and extreme upper quantiles. Our results revealed a highly interconnected system, with Bitcoin identified as a net transmitter of shocks. RIOT and MARA also emerged as major net transmitters in the system, while GREE and NILE were net receivers. The spillover effects were more pronounced during extreme market conditions compared to normal conditions. Moreover, the connectedness of the system progressively increased, peaking in 2021 when China banned crypto-mining. The extreme and dynamic connectedness identified in this study offers valuable insights for investors regarding hedging strategies and portfolio allocation, as well as for regulators focused on financial stability and systemic risk.

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Publication Details

Journal
Green Finance
Published
2025-01-01
DOI
https://doi.org/10.3934/gf.2025017
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00

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article

Bitcoin and crypto-mining stocks: A quantile connectedness approach

Zhichuan Li, Yasir Riaz, Imran Yousaf
Green Finance
Market Dynamics and Volatility
article

Bitcoin and crypto-mining stocks: A quantile connectedness approach

Zhichuan Li, Yasir Riaz, Imran Yousaf
article en

Abstract

In this paper, we studied the extreme connectedness between Bitcoin and crypto-mining stocks using the quantile connectedness approach of Ando et al. (2022). We estimated the connectedness (i.e., the direction and strength of spillover effects) at the median, extreme lower, and extreme upper quantiles. Our results revealed a highly interconnected system, with Bitcoin identified as a net transmitter of shocks. RIOT and MARA also emerged as major net transmitters in the system, while GREE and NILE were net receivers. The spillover effects were more pronounced during extreme market conditions compared to normal conditions. Moreover, the connectedness of the system progressively increased, peaking in 2021 when China banned crypto-mining. The extreme and dynamic connectedness identified in this study offers valuable insights for investors regarding hedging strategies and portfolio allocation, as well as for regulators focused on financial stability and systemic risk.

Green FinanceVol. 7(3)
Western University (CA), University of Ulster (GB), Prince Sultan University (SA), Xi’an Jiaotong-Liverpool University (CN)
Prince Sultan University
Openalex Percentile: Top 74%
Market Dynamics and Volatility
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