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Extreme spillover effect of COVID-19 pandemic-related news and cryptocurrencies on green bond markets: A quantile connectedness analysis

Author

Listed:
  • Rabeh Khalfaoui

    (ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Salma Mefteh-Wali

    (ESSCA - Ecole Supérieure des Sciences Commerciales d'Angers)

  • Buhari Dogan

    (Suleyman Demiref University - Suleyman Demiref University)

  • Sudeshna Ghosh

    (Post Graduate Department of Botany, Scottish Church College, Kolkata, West Bengal, India)

Abstract

We provide the first empirical study on the role of panic and stress related to the COVID-19 pandemic, including six uncertainties and the four most traded cryptocurrencies, on three green bond market volatilities. Based on daily data covering the period from January 1, 2020 to January 31, 2022, we combine Diebold and Yilmaz's (2012, 2014) time domain spillover approach and Ando et al.'s (2022) quantile regression framework to investigate the time-frequency spillover connectedness among markets and measure the direction and intensity of the net transmission effect under extreme negative and positive event conditions, and normal states. We further provide novel insights into the green finance literature by examining sensitivity to quantile analysis of the net transfer mechanism between green bonds, cryptocurrencies, and pandemic uncertainty. Regarding the network connectedness analysis, the results reveal strong net information spillover transmission among markets under the bearish market. In extremely negative event circumstances, the MSCI Euro green bond acts as the leading net shock receiver in the system, whereas COVID-19 fake news appears as the largest net shock contributor, followed by BTC. According to sensitivity to quantile analysis, the net dynamic shock transfer mechanism is time-varying and quantile-dependent. Overall, our work uncovers crucial implications for investors and policymakers.

Suggested Citation

  • Rabeh Khalfaoui & Salma Mefteh-Wali & Buhari Dogan & Sudeshna Ghosh, 2023. "Extreme spillover effect of COVID-19 pandemic-related news and cryptocurrencies on green bond markets: A quantile connectedness analysis," Post-Print hal-03998228, HAL.
    • Handle: RePEc:hal:journl:hal-03998228
    DOI: 10.1016/j.irfa.2023.102496
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    Citations

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    Cited by:

    1. Mao, Qian & Ma, Xinyuan & Sun, Yunpeng, 2023. "Study of impacts of blockchain technology on renewable energy resource findings," Renewable Energy, Elsevier, vol. 211(C), pages 802-808.
    2. Liang Wang & Xianyan Xiong & Ziqiu Cao, 2023. "Time-frequency volatility spillovers between Chinese renminbi onshore and offshore markets during the COVID-19 crisis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    3. Hanif, Waqas & Teplova, Tamara & Rodina, Victoria & Alomari, Mohammed & Mensi, Walid, 2023. "Volatility spillovers and frequency dependence between oil price shocks and green stock markets," Resources Policy, Elsevier, vol. 85(PB).
    4. Jareño, Francisco & Yousaf, Imran, 2023. "Artificial intelligence-based tokens: Fresh evidence of connectedness with artificial intelligence-based equities," International Review of Financial Analysis, Elsevier, vol. 89(C).
    5. Xu, Xinkuo & Li, Jingsi, 2023. "Can green bonds reduce the carbon emissions of cities in China?," Economics Letters, Elsevier, vol. 226(C).
    6. Nyakurukwa, Kingstone & Seetharam, Yudhvir, 2023. "Quantile and asymmetric return connectedness among BRICS stock markets," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    7. Oliyide, Johnson A. & Adekoya, Oluwasegun B. & Marie, Mohamed & Al-Faryan, Mamdouh Abdulaziz Saleh, 2023. "Green finance and commodities: Cross-market connectedness during different COVID-19 episodes," Resources Policy, Elsevier, vol. 85(PA).

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