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

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  • Zeng, Hongjun
  • Huang, Qingcheng
  • Abedin, Mohammad Zoynul
  • Ahmed, Abdullahi D.
  • Lucey, Brian

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.

Suggested Citation

  • Zeng, Hongjun & Huang, Qingcheng & Abedin, Mohammad Zoynul & Ahmed, Abdullahi D. & Lucey, Brian, 2025. "Connectedness and frequency connection among green bond, cryptocurrency and green energy-related metals around the COVID-19 outbreak," Research in International Business and Finance, Elsevier, vol. 73(PA).
    • Handle: RePEc:eee:riibaf:v:73:y:2025:i:pa:s0275531924003404
    DOI: 10.1016/j.ribaf.2024.102547
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    1. Bouri, Elie & Cepni, Oguzhan & Gabauer, David & Gupta, Rangan, 2021. "Return connectedness across asset classes around the COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 73(C).
    2. Kanamura, Takashi, 2021. "Risk Mitigation and Return Resilience for High Yield Bond ETFs with ESG Components," Finance Research Letters, Elsevier, vol. 41(C).
    3. Christian M Hafner, 2020. "Testing for Bubbles in Cryptocurrencies with Time-Varying Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 233-249.
    4. Fasanya, Ismail O. & Oliyide, Johnson A. & Adekoya, Oluwasegun B. & Agbatogun, Taofeek, 2021. "How does economic policy uncertainty connect with the dynamic spillovers between precious metals and bitcoin markets?," Resources Policy, Elsevier, vol. 72(C).
    5. Rick Bohte & Luca Rossini, 2019. "Comparing the Forecasting of Cryptocurrencies by Bayesian Time-Varying Volatility Models," JRFM, MDPI, vol. 12(3), pages 1-18, September.
    6. Mo, Bin & Meng, Juan & Zheng, Liping, 2022. "Time and frequency dynamics of connectedness between cryptocurrencies and commodity markets," Resources Policy, Elsevier, vol. 77(C).
    7. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    8. Caferra, Rocco & Vidal-Tomás, David, 2021. "Who raised from the abyss? A comparison between cryptocurrency and stock market dynamics during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 43(C).
    9. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    10. Hachenberg, B. & Schiereck, D., 2018. "Are green bonds priced differently from conventional bonds?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 109709, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    11. Gabauer, David & Stenfors, Alexis, 2024. "Quantile-on-quantile connectedness measures: Evidence from the US treasury yield curve," Finance Research Letters, Elsevier, vol. 60(C).
    12. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Oil price shocks and the return and volatility spillover between industrial and precious metals," Energy Economics, Elsevier, vol. 99(C).
    13. Zeng, Hongjun & Abedin, Mohammad Zoynul & Zhou, Xiangjing & Lu, Ran, 2024. "Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices," International Review of Financial Analysis, Elsevier, vol. 92(C).
    14. Guodong Li & Yang Li & Chih-Ling Tsai, 2015. "Quantile Correlations and Quantile Autoregressive Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 246-261, March.
    15. Zeng, Hongjun & Abedin, Mohammad Zoynul & Lucey, Brian, 2024. "Heterogeneous dependence of the FinTech Index with Global Systemically Important Banks (G-SIBs)," Finance Research Letters, Elsevier, vol. 64(C).
    16. Rehman, Mobeen Ur & Vinh Vo, Xuan, 2020. "Cryptocurrencies and precious metals: A closer look from diversification perspective," Resources Policy, Elsevier, vol. 66(C).
    17. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    18. Barua, Suborna, 2020. "Understanding Coronanomics: The economic implications of the coronavirus (COVID-19) pandemic," MPRA Paper 99693, University Library of Munich, Germany.
    19. Mensi, Walid & Sensoy, Ahmet & Aslan, Aylin & Kang, Sang Hoon, 2019. "High-frequency asymmetric volatility connectedness between Bitcoin and major precious metals markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    20. Kumar, Anoop S & Padakandla, Steven Raj, 2022. "Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach," Finance Research Letters, Elsevier, vol. 47(PB).
    21. Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Uddin, Gazi Salah & Kang, Sang Hoon, 2019. "Can agricultural and precious metal commodities diversify and hedge extreme downside and upside oil market risk? An extreme quantile approach," Resources Policy, Elsevier, vol. 62(C), pages 588-601.
    22. Braga, Joao Paulo & Semmler, Willi & Grass, Dieter, 2021. "De-risking of green investments through a green bond market – Empirics and a dynamic model," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    23. Yizhi Wang & Brian Lucey & Samuel Alexandre Vigne & Larisa Yarovaya, 2022. "An index of cryptocurrency environmental attention (ICEA)," China Finance Review International, Emerald Group Publishing Limited, vol. 12(3), pages 378-414, January.
    24. Pham, Linh & Do, Hung Xuan, 2022. "Green bonds and implied volatilities: Dynamic causality, spillovers, and implications for portfolio management," Energy Economics, Elsevier, vol. 112(C).
    25. Hung, Ngo Thai, 2021. "Oil prices and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 73(C).
    26. Hongjun Zeng & Abdullahi D. Ahmed & Ran Lu, 2024. "The Bitcoin‐agricultural commodities nexus: Fresh insight from COVID‐19 and 2022 Russia–Ukraine war," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 68(3), pages 653-677, July.
    27. Naeem, Muhammad Abubakr & Nguyen, Thi Thu Ha & Nepal, Rabindra & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Asymmetric relationship between green bonds and commodities: Evidence from extreme quantile approach," Finance Research Letters, Elsevier, vol. 43(C).
    28. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    29. Britta Hachenberg & Dirk Schiereck, 2018. "Are green bonds priced differently from conventional bonds?," Journal of Asset Management, Palgrave Macmillan, vol. 19(6), pages 371-383, October.
    30. Ligang Song & Yixiao Zhou, 2020. "The COVID‐19 Pandemic and Its Impact on the Global Economy: What Does It Take to Turn Crisis into Opportunity?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(4), pages 1-25, July.
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    More about this item

    Keywords

    Green Bond; Cryptocurrency; Green energy-related metals; Return Connectedness; Wavelet Coherence; Quantile;
    All these keywords.

    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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