Connectedness and frequency connection among green bond, cryptocurrency and green energy-related metals around the COVID-19 outbreak

We investigate the return interdependence among green bonds, cryptocurrency indices and green energy-related metals. We apply time-varying parametric vector autoregression (TVP-VAR) conenctedness, wavelet coherence, Wavelet Quantile Correlation (WQC) and Quantile on Quantile (QQR) Connectedness Methods. Our empirical findings show that return connectedness has become even stronger after the outbreak of COVID-19, with both green bonds and cryptocurrency indices acting as net receivers of return spillovers. Surprisingly, Copper functioned as a net sender of return spillovers over the entire observation period. Findings revealed that the cryptocurrency index exhibited a consistent positive correlation with the green energy-related metals market at medium to short-term frequencies, whereas green bonds showed a negative correlation with metals market at short-term frequencies and a positive correlation at long-term frequencies. • After the outbreak of COVlD-19, the return interdependence became stronger. • Copper functioned as a net sender of return spillovers throughout the entire observation period. • The green bond market led the movements in the Lead and Aluminium markets at medium to long-term frequencies. • Following the outbreak of COVlD-19, returns in the cryptocurrency market influenced the Copper and Lead markets. • The cryptocurrency index consistently showed a positive correlation with the green energy-related metals market.

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Publication Details

Journal
Research in International Business and Finance
Published
2024-08-30
DOI
https://doi.org/10.1016/j.ribaf.2024.102547
Citations
54
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
60.98

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article

Connectedness and frequency connection among green bond, cryptocurrency and green energy-related metals around the COVID-19 outbreak

Brian M. Lucey, Qingcheng Huang, Mohammad Zoynul Abedin, Hongjun Zeng et al.
54 citations
Research in International Business and Finance
Market Dynamics and Volatility
60.98
article

Connectedness and frequency connection among green bond, cryptocurrency and green energy-related metals around the COVID-19 outbreak

Brian M. Lucey, Qingcheng Huang, Mohammad Zoynul Abedin, Hongjun Zeng, Abdullahi D. Ahmed
article en
54 citations

Abstract

We investigate the return interdependence among green bonds, cryptocurrency indices and green energy-related metals. We apply time-varying parametric vector autoregression (TVP-VAR) conenctedness, wavelet coherence, Wavelet Quantile Correlation (WQC) and Quantile on Quantile (QQR) Connectedness Methods. Our empirical findings show that return connectedness has become even stronger after the outbreak of COVID-19, with both green bonds and cryptocurrency indices acting as net receivers of return spillovers. Surprisingly, Copper functioned as a net sender of return spillovers over the entire observation period. Findings revealed that the cryptocurrency index exhibited a consistent positive correlation with the green energy-related metals market at medium to short-term frequencies, whereas green bonds showed a negative correlation with metals market at short-term frequencies and a positive correlation at long-term frequencies. • After the outbreak of COVlD-19, the return interdependence became stronger. • Copper functioned as a net sender of return spillovers throughout the entire observation period. • The green bond market led the movements in the Lead and Aluminium markets at medium to long-term frequencies. • Following the outbreak of COVlD-19, returns in the cryptocurrency market influenced the Copper and Lead markets. • The cryptocurrency index consistently showed a positive correlation with the green energy-related metals market.

Research in International Business and FinanceVol. 73
Guangxi University (CN), Trinity College Dublin (IE), Swansea University (GB), MIT University (MK), RMIT University (AU)
National Natural Science Foundation of China, National Office for Philosophy and Social Sciences, National Social Science Fund of China
Openalex Percentile: Top 0%
Market Dynamics and Volatility
60.98
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