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Tail risk dependence, co-movement and predictability between green bond and green stocks

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  • Aviral Kumar Tiwari
  • Emmanuel Joel Aikins Abakah
  • OlaOluwa Simon Yaya
  • Kingsley Opoku Appiah

Abstract

This paper examines the coherence of extreme returns between green bonds and a unique set of green stocks. We use the novel quantile cross-spectral coherence methodology of quantile spectral coherency model, cross-quantilogram correlation approach, windowed time-lagged cross-correlation, and windowed scalogram difference models as estimation techniques. The study period spans from 28 November 2008 to 23 September 2020. Our measure of green stocks comprises the constituents of the MSCI Global Environment Price Index: Alternative Energy, Green Building, Pollution Prevention or Clean Technology while our green bond market is proxied by S&P Green Bond Index. We find the dependency between Green Bonds and green stocks to be weak, and this is high during market downturn periods in the short- to medium-term dynamics. This suggests that Green Bonds do act as a hedge, diversifier, or safe-haven instrument for environment portfolio in the short-term, medium-term and long-term dynamics during bearish market conditions. We conclude that green bonds and green stocks are two distinct asset classes with a distinct risk-return profile despite their common climate-friendly nature.

Suggested Citation

  • Aviral Kumar Tiwari & Emmanuel Joel Aikins Abakah & OlaOluwa Simon Yaya & Kingsley Opoku Appiah, 2023. "Tail risk dependence, co-movement and predictability between green bond and green stocks," Applied Economics, Taylor & Francis Journals, vol. 55(2), pages 201-222, January.
    • Handle: RePEc:taf:applec:v:55:y:2023:i:2:p:201-222
    DOI: 10.1080/00036846.2022.2085869
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    Citations

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    Cited by:

    1. Huang, Zishan & Zhu, Huiming & Hau, Liya & Deng, Xi, 2023. "Time-frequency co-movement and network connectedness between green bond and financial asset markets: Evidence from multiscale TVP-VAR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    2. Lu, Xinjie & Zeng, Qing & Zhong, Juandan & Zhu, Bo, 2024. "International stock market volatility: A global tail risk sight," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    3. Xu, Danyang & Hu, Yang & Corbet, Shaen & Lang, Chunlin, 2024. "Return connectedness of green bonds and financial investment channels in China: Implications for hedging and regulation," Research in International Business and Finance, Elsevier, vol. 70(PA).
    4. Abdullah, Mohammad & Abakah, Emmanuel Joel Aikins & Wali Ullah, G M & Tiwari, Aviral Kumar & Khan, Isma, 2023. "Tail risk contagion across electricity markets in crisis periods," Energy Economics, Elsevier, vol. 127(PB).
    5. Nini Johana Marín-Rodríguez & Juan David González-Ruiz & Alejandro Valencia-Arias, 2023. "Incorporating Green Bonds into Portfolio Investments: Recent Trends and Further Research," Sustainability, MDPI, vol. 15(20), pages 1-32, October.
    6. Anwer, Zaheer & Farid, Saqib & Khan, Ashraf & Benlagha, Noureddine, 2023. "Cryptocurrencies versus environmentally sustainable assets: Does a perfect hedge exist?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 418-431.
    7. Tiwari, Aviral Kumar & Adewuyi, Adeolu O. & Adeleke, Musefiu Adebowale & Abakah, Emmanuel Joel Aikins, 2023. "A time-varying Granger causality analysis between water stock and green stocks using novel approaches," Energy Economics, Elsevier, vol. 126(C).

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