Is the Russian Green Bond Market Strong Enough to Hedge in the Crisis Times?

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Abstract

The scope of this research has two facets. First, we study the spillover effects between the Russian green bonds and the leading capital market’s ‘indexes before and after the February 2022 events. Second, the identified level of asset connectedness permits to identify portfolio management implications for the analyzed assets. To reveal the spillover effects, we applied the vector autoregressive model and created a synthetic index to capture the dynamics of the green bonds market which included 14 green bond issues between 2021 and 2023 in Russia. We analyze oil & gas, electrical utilities, metals & extraction, chemical sectors collectively referred to as “pollution intensive indexes”. The paper contributes by discovering
that the total connectedness index (TCI) between Russian green bond market and pollution intensive indexes changed over time and increased after the outbreak of the conflict. Additionally, the paper is novel on revealing the relationship between low hedging effectiveness and hedging ratio of green bond and energy, metals and extraction, sustainability and oil and gas indexes which indicate no need for hedging after February events. The optimal bivariate portfolio weights analysis shows that Russian green bonds market is an outstanding instrument for assets portfolio management during geopolitical conflict. These findings have implications for the government and other stakeholders to manage both the contagion and climate risks during the military conflict.

About the authors

I. Frecautan

HSE University, Moscow, Russia

Author for correspondence.
Email: ifrekaucan@hse.ru

References

  1. Jiang W., Dong L., Chen Y. Time-frequency connectedness among traditional/new energy, green finance, and ESG in pre-and post-Russia-Ukraine war periods. Resources Policy. 2023; 83: 103618. DOI: https://doi.org/10.1016/j.resourpol.2023.103618
  2. Adekoya O. B., J. A. Oliyide. Commodity and financial markets’ fear before and during COVID-19 pandemic: Persistence and causality analyses. Resources Policy. 2022; 76: 102598. DOI: https://doi.org/10.1016/j.resourpol.2022.102598
  3. Karkowska R., Urjasz S. How does the Russian-Ukrainian war change connectedness and hedging opportunities? Comparison between dirty and clean energy markets versus global stock indices. Journal of International Financial Markets, Institutions and Money. 2023; 85: 101768. DOI: https://doi.org/10.1016/j.intfin.2023.101768
  4. Diebold F. X., Yilmaz K. Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of forecasting. 2012; 28(1): 57-66. DOI: https://doi.org/10.1016/j.ijforecast.2011.02.006
  5. Bachelet M. J., Becchetti L., Manfredonia S. The green bonds premium puzzle: The role of issuer characteristics and third-party verification. Sustainability. 2019; 11(4): 1098. DOI: https://doi.org/10.3390/su11041098
  6. Greenwood-Nimmo M., Nguyen V. H., Rafferty B. Risk and return spillovers among the G10 currencies. Journal of Financial Markets. 2016; 31: 43-62. DOI: https://doi.org/10.1016/j.finmar.2016.05.001
  7. Tiwari A. K., Abakah E. J. A., Gabauer D., Dwumfour R. A. Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies. Global Finance Journal. 2022; 51: 100692.. DOI: https://doi.org/10.1016/j.gfj.2021.100692
  8. Deng J., Lu J., Zheng Y., Xing X., Liu C., Qin T. The impact of the COVID-19 pandemic on the connectedness between green industries and financial markets in China: evidence from time-frequency domain with portfolio implications. Sustainability. 2022; 14(20): 13178. DOI: https://doi.org/10.3390/su142013178
  9. Mensi W., Shafiullah M., Vo X. V., Kang S. H. Spillovers and connectedness between green bond and stock markets in bearish and bullish market scenarios. Finance Research Letters. 2022; 49: 103120. DOI: https://doi.org/10.1016/j.frl.2022.103120
  10. Pham L., Do H. X. Green bonds and implied volatilities: Dynamic causality, spillovers, and implications for portfolio management. Energy Economics. 2022; 112: 106106. DOI: https://doi.org/10.1016/j.eneco.2022.106106
  11. Abakah E. J. A., Tiwari A. K., Sharma A., Mwamtambulo D. J. Extreme connectedness between green bonds, government bonds, corporate bonds and other asset classes: Insights for portfolio investors. Journal of Risk and Financial Management. 2022; 15(10): 477. DOI: https://doi.org/10.3390/jrfm15100477
  12. Sohag K., Hammoudeh S., Elsayed A. H., Mariev O., Safonova Y. Do geopolitical events transmit opportunity or threat to green markets? Decomposed measures of geopolitical risks. Energy Economics. 2022; 111: 106068. DOI: https://doi.org/10.1016/j.eneco.2022.106068
  13. Reboredo J. C., Uddin G. S. Do financial stress and policy uncertainty have an impact on the energy and metals markets? A quantile regression approach. International Review of Economics & Finance. 2016; 43: 284-298. DOI: https://doi.org/10.1016/j.iref.2015.10.043
  14. Gavriilidis K. Measuring climate policy uncertainty. Available at SSRN. 2021. 3847388. DOI: https://doi.org/10.2139/ssrn.3847388
  15. Husain S., Sohag K., Wu Y. The response of green energy and technology investment to climate policy uncertainty: An application of twin transitions strategy. Technology in Society. 2022; 71:102132. DOI: https://doi.org/10.1016/j.techsoc.2022.102132
  16. Tian T., Lai K. H., Wong C. W. Connectedness mechanisms in the “Carbon-Commodity-Finance” system: Investment and management policy implications for emerging economies. Energy Policy.2022;169: 113195. DOI: https://doi.org/10.1016/j.enpol.2022.113195
  17. Zhang W., He X., Hamori, S. Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach. International Review of Financial Analysis. 2022;83: 102223. DOI: https://doi.org/10.1016/j.irfa.2022.102223
  18. Koenker R., Bassett Jr. G., Regression quantiles. Econometrica. J. Econom. 1978;Soc. 33–50. DOI: https://doi.org/10.2307/1913643
  19. Su T., Zhang Z. J., Lin B. Green bonds and conventional financial markets in China: A tale of three transmission modes. Energy Economics. 2022;113: 106200.
  20. Antonakakis N., Cunado J., Filis G., Gabauer D., de Gracia F.P., Oil and asset classes implied volatilities: Investment strategies and hedging effectiveness. Energy Econ. 2020;91:104762. DOI: https://doi.org/10.1016/j.eneco.2020.104762
  21. Liu M. The driving forces of green bond market volatility and the response of the market to the COVID-19 pandemic. Economic Analysis and Policy. 2022;75: 288-309. DOI: https://doi.org/10.1016/j.eap.2022.05.012
  22. Yang Q., Du Q., Razzaq A., Shang Y. How volatility in green financing, clean energy, and green economic practices derive sustainable performance through ESG indicators? A sectoral study of G7 countries. Resources Policy. 2022;75:102526. DOI: https://doi.org/10.1016/j.resourpol.2021.102526
  23. Su T., Zhang Z. J., Lin B. Green bonds and conventional financial markets in China: A tale of three transmission modes. Energy Economics. 2022;113: 106200. DOI: https://doi.org/10.1016/j.eneco.2022.106200
  24. Guo D., Zhou P. Green bonds as hedging assets before and after COVID: A comparative study between the US and China. Energy Economics. 2021;104:105696. DOI: https://doi.org/10.1016/j.eneco.2021.105696
  25. Naeem M. A., Nguyen T. T. H., Nepal R., Ngo Q. T., Taghizadeh–Hesary F. Asymmetric relationship between green bonds and commodities: Evidence from extreme quantile approach. Finance Research Letters. 2021;43: 101983. DOI: https://doi.org/10.1016/j.frl.2021.101983
  26. Wang Y., Guo Z. The dynamic spillover between carbon and energy markets: new evidence. Energy. 2018;149: 24–33. DOI: https://doi.org/10.1016/j.energy.2018.01.145
  27. Kroner K. F., Sultan J. Time-varying distributions and dynamic hedging with foreign currency futures. Journal of financial and quantitative analysis.1993; 28(4): 535-551 DOI: https://doi.org/10.2307/2331164
  28. Kroner K. F., Ng V. K. Modeling asymmetric comovements of asset returns. The review of financial studies. 1998;11(4): 817-844. DOI: https://doi.org/10.1093/rfs/11.4.817
  29. Ederington L. H. The hedging performance of the new futures markets. The journal of finance. 1979;34 (1): 157-170. DOI: https://doi.org/10.1111/j.1540-6261.1979.tb02077.x
  30. Rustamova L.R., Adrianov A.K. Cancel culture: conceptualization of the term and its use in foreign policy. – Polis. Political Studies. 2023;4: 37-53. https://doi.org/10.17976/jpps/2023.04.04. EDN: TXMHBX DOI: https://doi.org/10.17976/jpps/2023.04.04
  31. Pata U. K., Kartal M. T., Zafar M. W. Environmental reverberations of geopolitical risk and economic policy uncertainty resulting from the Russia-Ukraine conflict: A wavelet based approach for sectoral CO2 emissions. Environmental Research. 2023; 231: 116034. DOI: https://doi.org/10.1016/j.envres.2023.116034
  32. Wang Q., Ren F., Li R. Does geopolitical risk impact sustainable development? A perspective on linkage between geopolitical risk and sustainable development research. Journal of Cleaner Production.2024; 451: 141980. DOI: https://doi.org/10.1016/j.jclepro.2024.141980
  33. Liu S., Qi H., Wan Y. Driving factors behind the development of China's green bond market. Journal of Cleaner Production. 2022; 354: 131705. DOI: https://doi.org/10.1016/j.jclepro.2022.131705
  34. Mansouri S., Momtaz P. P. Financing sustainable entrepreneurship: ESG measurement, valuation, and performance. Journal of Business Venturing. 2022;37(6): 106258. DOI: https://doi.org/10.1016/j.jbusvent.2022.106258

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