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Go green or stay black: Bond market dynamics in Asia

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  • Uddin, Gazi Salah
  • Jayasekera, Ranadeva
  • Park, Donghyun
  • Luo, Tianqi
  • Tian, Shu

Abstract

This paper presents a picture of the risk spillover relationship of green & black bonds in Asia. In normal situations and the long-term horizon, green bonds and black bonds have similar impacts with each other, with a slight predominance of black bonds. Based on the dynamic connectedness results, we classify the sample period into three stages. The first stage is a period with equal role of green and black bonds from Jan 2018 to Feb 2020, which is regarded as a normal situation of the bond market. The second stage is an unbalanced period with a pivotal point of the Covid-19, demonstrating an increased gap of the connectedness exported by green and black bonds. The third stage is the recovery period after Oct 2020, where we see a correction with the role of green and black bonds recovering gradually to the equal status. In addition, the green-to-black connectedness in longer term witnesses faster and stronger recovery, which suggests that the long-term influences of green bonds are relatively stable than the short-term influences. Moreover, the paper tests the effects of the same issuer. Our analysis shows that there are strong connections among bonds in the Philippines that are issued by the same institution. However, the same issuer is not a sufficient condition for a strong connectedness. Furthermore, our analysis in China Mainland, reveals that the green policy will firstly cause the change of green bonds price and then spillover the impact to conventional markets. Through the study of the drivers of connectedness dynamics in four directions (green-to-green, black-to-black, green-to-black, black-to-green), we present empirical findings that are crucial for investors and policymakers in risk management, hedging strategy, and green investment acceleration.

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  • Uddin, Gazi Salah & Jayasekera, Ranadeva & Park, Donghyun & Luo, Tianqi & Tian, Shu, 2022. "Go green or stay black: Bond market dynamics in Asia," International Review of Financial Analysis, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:finana:v:81:y:2022:i:c:s1057521922000825
    DOI: 10.1016/j.irfa.2022.102114
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    as
    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    3. Ahmad, Wasim & Mishra, Anil V. & Daly, Kevin J., 2018. "Financial connectedness of BRICS and global sovereign bond markets," Emerging Markets Review, Elsevier, vol. 37(C), pages 1-16.
    4. Saeed, Tareq & Bouri, Elie & Alsulami, Hamed, 2021. "Extreme return connectedness and its determinants between clean/green and dirty energy investments," Energy Economics, Elsevier, vol. 96(C).
    5. Pham, Linh, 2021. "Frequency connectedness and cross-quantile dependence between green bond and green equity markets," Energy Economics, Elsevier, vol. 98(C).
    6. Reboredo, Juan C., 2018. "Green bond and financial markets: Co-movement, diversification and price spillover effects," Energy Economics, Elsevier, vol. 74(C), pages 38-50.
    7. Reboredo, Juan C. & Ugolini, Andrea & Aiube, Fernando Antonio Lucena, 2020. "Network connectedness of green bonds and asset classes," Energy Economics, Elsevier, vol. 86(C).
    8. Madurika Nanayakkara & Sisira Colombage, 2019. "Do investors in Green Bond market pay a premium? Global evidence," Applied Economics, Taylor & Francis Journals, vol. 51(40), pages 4425-4437, August.
    9. Dirk Heine & Willi Semmler & Mariana Mazzucato & João Paulo Braga & Michael Flaherty & Arkady Gevorkyan & Erin Hayde & Siavash Radpour, 2019. "Financing Low-Carbon Transitions through Carbon Pricing and Green Bonds," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 88(2), pages 29-49.
    10. Kanamura, Takashi, 2020. "Are green bonds environmentally friendly and good performing assets?," Energy Economics, Elsevier, vol. 88(C).
    11. Youngho Chang, 2015. "Energy And Environmental Policy," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(03), pages 1-19.
    12. Olivier David Zerbib, 2019. "The effect of pro-environmental preferences on bond prices: Evidence from green bonds," Post-Print halshs-02008641, HAL.
    13. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    14. Zerbib, Olivier David, 2019. "The effect of pro-environmental preferences on bond prices: Evidence from green bonds," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 39-60.
    15. Reboredo, Juan C. & Ugolini, Andrea, 2020. "Price connectedness between green bond and financial markets," Economic Modelling, Elsevier, vol. 88(C), pages 25-38.
    16. Hanif, Imran & Aziz, Babar & Chaudhry, Imran Sharif, 2019. "Carbon emissions across the spectrum of renewable and nonrenewable energy use in developing economies of Asia," Renewable Energy, Elsevier, vol. 143(C), pages 586-595.
    17. Dina Azhgaliyeva & Anant Kapoor & Yang Liu, 2020. "Green bonds for financing renewable energy and energy efficiency in South-East Asia: a review of policies," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 10(2), pages 113-140, April.
    Full references (including those not matched with items on IDEAS)

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