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Risk Spillover Effects Between the U.S. and Chinese Green Bond Markets: A Threshold Time-Varying Copula-GARCHSK Approach

Author

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  • Qin Wang

    (Southwest Jiaotong University)

  • Xianhua Li

    (Southwest Jiaotong University)

Abstract

This paper develops a novel time-varying Copula model that conducts a GARCHSK model for marginal modeling and comprises threshold variables to model the joint distribution of returns. The new threshold time-varying Copula-GARCHSK model characterizes the higher-order moments of financial markets over time and captures the time-varying dependence mechanisms during simultaneous rises, oscillations, and simultaneous declines. An empirical analysis of the risk spillover effects between the U.S. and Chinese green bond markets, spanning from May 12, 2015, to June 13, 2023, is conducted using this model. The results show that the proposed threshold time-varying Copula-GARCHSK model effectively investigates the nonlinear time-varying dependence under these three different states and outperforms traditional time-varying Copula models. The asymmetric bidirectional risk spillover effects between the U.S. and Chinese green bond markets are evident with the new model, particularly showing a significant increase in risk spillover intensity when both markets decline simultaneously, with a more pronounced increase in risk spillover from the Chinese green bond market to the U.S. green bond market.

Suggested Citation

  • Qin Wang & Xianhua Li, 2025. "Risk Spillover Effects Between the U.S. and Chinese Green Bond Markets: A Threshold Time-Varying Copula-GARCHSK Approach," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3605-3631, June.
  • Handle: RePEc:kap:compec:v:65:y:2025:i:6:d:10.1007_s10614-024-10687-1
    DOI: 10.1007/s10614-024-10687-1
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    as
    1. Contessi, Silvio & De Pace, Pierangelo, 2021. "The international spread of COVID-19 stock market collapses," Finance Research Letters, Elsevier, vol. 42(C).
    2. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    3. Meng, Juan & Nie, He & Mo, Bin & Jiang, Yonghong, 2020. "Risk spillover effects from global crude oil market to China’s commodity sectors," Energy, Elsevier, vol. 202(C).
    4. Mensi, Walid & Hammoudeh, Shawkat & Shahzad, Syed Jawad Hussain & Shahbaz, Muhammad, 2017. "Modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition-based copula method," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 258-279.
    5. Bai, Lan & Wei, Yu & Wei, Guiwu & Li, Xiafei & Zhang, Songyun, 2021. "Infectious disease pandemic and permanent volatility of international stock markets: A long-term perspective," Finance Research Letters, Elsevier, vol. 40(C).
    6. Lea Petrella & Alessandro G. Laporta & Luca Merlo, 2019. "Cross-Country Assessment of Systemic Risk in the European Stock Market: Evidence from a CoVaR Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 169-186, November.
    7. Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
    8. Dongming Jiang & Fang Jia, 2022. "Extreme Spillover between Green Bonds and Clean Energy Markets," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    9. Su, Tong & Zhang, Zuopeng (Justin) & Lin, Boqiang, 2022. "Green bonds and conventional financial markets in China: A tale of three transmission modes," Energy Economics, Elsevier, vol. 113(C).
    10. Hanif, Waqas & Mensi, Walid & Alomari, Mohammad & Andraz, Jorge Miguel, 2023. "Downside and upside risk spillovers between precious metals and currency markets: Evidence from before and during the COVID-19 crisis," Resources Policy, Elsevier, vol. 81(C).
    11. Guo, Dong & Zhou, Peng, 2021. "Green bonds as hedging assets before and after COVID: A comparative study between the US and China," Energy Economics, Elsevier, vol. 104(C).
    12. Jiliang Sheng & Juchao Li & Jun Yang, 2022. "Tail Dependency and Risk Spillover between Oil Market and Chinese Sectoral Stock Markets—An Assessment of the 2013 Refined Oil Pricing Reform," Energies, MDPI, vol. 15(16), pages 1-19, August.
    13. Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
    14. Girardi, Giulio & Tolga Ergün, A., 2013. "Systemic risk measurement: Multivariate GARCH estimation of CoVaR," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3169-3180.
    15. Jiang, Cuixia & Li, Yuqian & Xu, Qifa & Liu, Yezheng, 2021. "Measuring risk spillovers from multiple developed stock markets to China: A vine-copula-GARCH-MIDAS model," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 386-398.
    16. Liang Wang & Tingjia Xu, 2022. "Bidirectional Risk Spillovers between Exchange Rate of Emerging Market Countries and International Crude Oil Price–Based on Time-varing Copula-CoVaR," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 383-414, January.
    17. Naeem, Muhammad Abubakr & Bouri, Elie & Costa, Mabel D. & Naifar, Nader & Shahzad, Syed Jawad Hussain, 2021. "Energy markets and green bonds: A tail dependence analysis with time-varying optimal copulas and portfolio implications," Resources Policy, Elsevier, vol. 74(C).
    18. Mzoughi, Hela & Urom, Christian & Guesmi, Khaled, 2022. "Downside and upside risk spillovers between green finance and energy markets," Finance Research Letters, Elsevier, vol. 47(PA).
    19. Wang, Xunxiao & Wang, Yudong, 2019. "Volatility spillovers between crude oil and Chinese sectoral equity markets: Evidence from a frequency dynamics perspective," Energy Economics, Elsevier, vol. 80(C), pages 995-1009.
    20. Nyakurukwa, Kingstone & Seetharam, Yudhvir, 2023. "Can textual sentiment partially explain differences in the prices of dual-listed stocks?," Finance Research Letters, Elsevier, vol. 58(PC).
    21. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    22. Xin Hu & Bo Zhu & Bokai Zhang & Lidan Zeng, 2024. "Extreme risk spillovers between US and Chinese agricultural futures markets in crises: A dependence-switching copula-CoVaR model," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-34, March.
    23. Zhu, Pengfei & Tang, Yong & Wei, Yu & Lu, Tuantuan, 2021. "Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic," Energy, Elsevier, vol. 231(C).
    24. Ji, Qiang & Liu, Bing-Yue & Fan, Ying, 2019. "Risk dependence of CoVaR and structural change between oil prices and exchange rates: A time-varying copula model," Energy Economics, Elsevier, vol. 77(C), pages 80-92.
    25. Qiang Liu & Chen Xu & Jane Xie, 2024. "Comparative Analysis of Spillover Effects in the Global Stock Market under Normal and Extreme Market Conditions," IJFS, MDPI, vol. 12(2), pages 1-20, May.
    26. Sugimoto, Kimiko & Matsuki, Takashi & Yoshida, Yushi, 2014. "The global financial crisis: An analysis of the spillover effects on African stock markets," Emerging Markets Review, Elsevier, vol. 21(C), pages 201-233.
    27. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    28. Yao, Can-Zhong & Li, Min-Jian, 2023. "GARCH-MIDAS-GAS-copula model for CoVaR and risk spillover in stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    29. Shahzad, Syed Jawad Hussain & Mensi, Walid & Hammoudeh, Shawkat & Rehman, Mobeen Ur & Al-Yahyaee, Khamis H., 2018. "Extreme dependence and risk spillovers between oil and Islamic stock markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 42-63.
    30. Zehri, Chokri, 2021. "Stock market comovements: Evidence from the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
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