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Inter-industry risk spillover, role reversal, and economic stability

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  • Zhu, Zongyuan
  • Luo, Qingtian

Abstract

This study employs a DY spillover index based on the time-varying parametric vector autoregressive (TVP-VAR) model to analyze inter-industry risk spillover, identify intertemporal reversals of industry risk roles, and test the stability of Chinese economic networks. Our results indicate that China's industries can be divided into three types: risk absorption, risk amplification, and risk adjustment. The risk spillover direction of the adjustment industry reverses with the change in economic conditions. Systemic risks arise from both the financial and non-financial sectors. Economic networks can remain stable at different times if risk-absorbing industries have advantages over risk-intensive industries.

Suggested Citation

  • Zhu, Zongyuan & Luo, Qingtian, 2023. "Inter-industry risk spillover, role reversal, and economic stability," Finance Research Letters, Elsevier, vol. 57(C).
    • Handle: RePEc:eee:finlet:v:57:y:2023:i:c:s1544612323006189
    DOI: 10.1016/j.frl.2023.104246
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    1. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    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. Shahzad, Syed Jawad Hussain & Hoang, Thi Hong Van & Arreola-Hernandez, Jose, 2019. "Risk spillovers between large banks and the financial sector: Asymmetric evidence from Europe," Finance Research Letters, Elsevier, vol. 28(C), pages 153-159.
    4. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    5. Chatziantoniou, Ioannis & Gabauer, David & Gupta, Rangan, 2023. "Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach," Resources Policy, Elsevier, vol. 84(C).
    6. Green, Rikard & Larsson, Karl & Lunina, Veronika & Nilsson, Birger, 2018. "Cross-commodity news transmission and volatility spillovers in the German energy markets," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 231-243.
    7. McIver, Ron P. & Kang, Sang Hoon, 2020. "Financial crises and the dynamics of the spillovers between the U.S. and BRICS stock markets," Research in International Business and Finance, Elsevier, vol. 54(C).
    8. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    9. Wu, Fei & Zhang, Dayong & Zhang, Zhiwei, 2019. "Connectedness and risk spillovers in China’s stock market: A sectoral analysis," Economic Systems, Elsevier, vol. 43(3).
    10. Karl V. Lins & Paolo Volpin & Hannes F. Wagner, 2013. "Does Family Control Matter? International Evidence from the 2008--2009 Financial Crisis," Review of Financial Studies, Society for Financial Studies, vol. 26(10), pages 2583-2619.
    11. Shahzad, Syed Jawad Hussain & Naeem, Muhammad Abubakr & Peng, Zhe & Bouri, Elie, 2021. "Asymmetric volatility spillover among Chinese sectors during COVID-19," International Review of Financial Analysis, Elsevier, vol. 75(C).
    12. Zhenzhen Long & Yang Zhao, 2022. "The Risk Spillover Effect of COVID-19 Breaking News on the Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(15), pages 4321-4337, December.
    13. Cotter, John & Hallam, Mark & Yilmaz, Kamil, 2023. "Macro-financial spillovers," Journal of International Money and Finance, Elsevier, vol. 133(C).
    14. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    15. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    16. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Sensoy, Ahmet & Kang, Sang Hoon, 2019. "Energy, precious metals, and GCC stock markets: Is there any risk spillover?," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 45-70.
    17. Gang-Jin Wang & Chi Xie & Kaijian He & H. Eugene Stanley, 2017. "Extreme risk spillover network: application to financial institutions," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1417-1433, September.
    18. Zhao, Wan-Li & Fan, Ying & Ji, Qiang, 2022. "Extreme risk spillover between crude oil price and financial factors," Finance Research Letters, Elsevier, vol. 46(PA).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Risk spillover; TVP-VAR model; Complex network; Economic stability;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G01 - Financial Economics - - General - - - Financial Crises
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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