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The Behaviour of Chinese Government Bond Yield Curve before and during the COVID-19 Pandemic

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  • Ganchev, Alexander

Abstract

The aim of the study is to investigate the behaviour of the Chinese government bond yield curve before and during the COVID-19 pandemic. Its methodology comprises the techniques of time series analysis, correlation analysis and dimensionality reduction. The main empirical results show that in the pandemic period, the behaviour of the Chinese government bond yield curve differs significantly from that before the outbreak of COVID-19. This is evidenced by the weaker correlations among the analysed yields, the presence of anomalies, heterogeneous behaviour and probable arbitrage opportunities at the long-term end of the studied yield curve, as well as the significant changes in the main factors of its dynamics. The research also reveals that prior to the COVID-19 pandemic, portfolios composed of Chinese government bonds could be well protected against interest rate risk even by using traditional parallel shift immunization techniques. However, after the outbreak of the COVID-19 pandemic the use of such techniques would be relatively effective for portfolios of Chinese government bonds with maturities between 1 and 5 years, while portfolios that include Chinese government bonds with maturities greater than 7 years should be either hedged against all the three factors of the yield curve dynamics or be used only for arbitrage strategies.

Suggested Citation

  • Ganchev, Alexander, 2023. "The Behaviour of Chinese Government Bond Yield Curve before and during the COVID-19 Pandemic," MPRA Paper 117626, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:117626
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    References listed on IDEAS

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    1. Mariyana Pavlova-Banova & Asen Bozhikov & Ivan Angelov & Iskren Tairov & Aleksandrina Aleksandrova & Kristina Georgieva & Mariela Stoyanova, 2022. "Integrating Crisis Management Mechanisms In European Cohesion Policy," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 3 Year 20, pages 32-45.
    2. Galina Zaharieva & Onnik Tarakchiyan & Andrey Zahariev, 2022. "Market Capitalization Factors Of The Bulgarian Pharmaceutical Sector In Pandemic," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 4 Year 20, pages 35-51.
    3. Kerry Liu, 2021. "COVID-19 and the Chinese economy: impacts, policy responses and implications," International Review of Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 308-330, March.
    4. Glenn D. Rudebusch & Tao Wu, 2008. "A Macro‐Finance Model of the Term Structure, Monetary Policy and the Economy," Economic Journal, Royal Economic Society, vol. 118(530), pages 906-926, July.
    5. Rumen Erusalimov & Nikolai Iliev, 2022. "The Impact Of Covid-19 On Development Of Motor Casco Insurance In Bulgaria," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 35-45.
    6. Hackworth, J.F., 2008. "Uncertainty and the yield curve," Economics Letters, Elsevier, vol. 98(3), pages 259-268, March.
    7. Alam Khan & Nadeem Khan & Muhammad Shafiq, 2021. "The Economic Impact of COVID-19 from a Global Perspective," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 15(1), February.
    8. Yi, Xing & Bai, Caiquan & Lyu, Siyuan & Dai, Lu, 2021. "The impacts of the COVID-19 pandemic on China's green bond market," Finance Research Letters, Elsevier, vol. 42(C).
    9. H�seyin Kaya, 2014. "Does the level of the yield curve predict inflation?," Applied Economics Letters, Taylor & Francis Journals, vol. 21(7), pages 477-480, May.
    10. Abdymomunov, Azamat, 2013. "Predicting output using the entire yield curve," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 333-344.
    11. Hong, Yongmiao & Lin, Hai & Wu, Chunchi, 2012. "Are corporate bond market returns predictable?," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2216-2232.
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    More about this item

    Keywords

    Chinese government bond market; government bonds; yield curve; COVID-19;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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