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.
Authors
- Brian M. Lucey (ORCID: https://orcid.org/0000-0002-4052-8235)
- Qingcheng Huang (ORCID: https://orcid.org/0009-0000-4679-2195)
- Mohammad Zoynul Abedin (ORCID: https://orcid.org/0000-0002-4688-0619)
- Hongjun Zeng (ORCID: https://orcid.org/0000-0002-5437-2710)
- Abdullahi D. Ahmed (ORCID: https://orcid.org/0000-0003-4472-0205)
Institutions
- Guangxi University (CN)
- Trinity College Dublin (IE)
- Swansea University (GB)
- MIT University (MK)
- RMIT University (AU)
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
Funders
- National Natural Science Foundation of China
- National Office for Philosophy and Social Sciences
- National Social Science Fund of China