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Business-linkage volatility spillovers between US industries

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  • Nguyen, Linh Xuan Diep
  • Mateut, Simona
  • Chevapatrakul, Thanaset

Abstract

We examine the volatility transmission across industries and its dependence on the inter-industry business linkages. Our analysis reveals significant cross-industry volatility spillovers, which are clearly associated with the strength of the trade relationship between industries. An industry that is more important to its trade partner – as measured by the shares of inputs or revenue – tends to have stronger volatility spillovers toward its partner and it is less affected by the volatility originating from its partner. Importantly, the strength of the business relationship appears highly relevant for shock spillovers in bad market conditions and is also confirmed at the portfolio level.

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  • Nguyen, Linh Xuan Diep & Mateut, Simona & Chevapatrakul, Thanaset, 2020. "Business-linkage volatility spillovers between US industries," Journal of Banking & Finance, Elsevier, vol. 111(C).
    • Handle: RePEc:eee:jbfina:v:111:y:2020:i:c:s0378426619302730
    DOI: 10.1016/j.jbankfin.2019.105699
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    Cited by:

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    2. Farooq Malik, 2022. "Volatility spillover among sector equity returns under structural breaks," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1063-1080, April.
    3. Gong, Xu & Xu, Jun & Liu, Tangyong & Zhou, Zicheng, 2022. "Dynamic volatility connectedness between industrial metal markets," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    4. Jia, Yanyan & Fang, Yi & Jing, Zhongbo & Lin, Faqin, 2022. "Price connectedness and input–output linkages: Evidence from China," Economic Modelling, Elsevier, vol. 116(C).
    5. Yabei Zhu & Xingguo Luo & Qi Xu, 2023. "Industry variance risk premium, cross‐industry correlation, and expected returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(1), pages 3-32, January.
    6. Beibei Zhang & Xuemei Xie & Chunmei Li, 2023. "How Connected Is China’s Systemic Financial Risk Contagion Network?—A Dynamic Network Perspective Analysis," Mathematics, MDPI, vol. 11(10), pages 1-19, May.
    7. Zhu, Bo & Lin, Renda & Deng, Yuanyue & Chen, Pingshe & Chevallier, Julien, 2021. "Intersectoral systemic risk spillovers between energy and agriculture under the financial and COVID-19 crises," Economic Modelling, Elsevier, vol. 105(C).
    8. Liu, Bin & Xiao, Wen & Zhu, Xingting, 2023. "How does inter-industry spillover improve the performance of volatility forecasting?," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
    9. Xu, Qiuhua & Yan, Haoyang & Zhao, Tianyu, 2022. "Contagion effect of systemic risk among industry sectors in China’s stock market," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    10. Xiaoyang Chen & Liguo Zhou & Lin Wang & Yuelong Zheng, 2023. "Risk spillover in China’s real estate industry chain: a DCC-EGARCH-ΔCoVaR model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    11. Mensi, Walid & Nekhili, Ramzi & Vo, Xuan Vinh & Suleman, Tahir & Kang, Sang Hoon, 2021. "Asymmetric volatility connectedness among U.S. stock sectors," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).

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    More about this item

    Keywords

    Asset pricing; Stock markets; Volatility spillovers; Multivariate GARCH; Input – Output linkages;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • E16 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Social Accounting Matrix
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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