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How have the dependence structures between stock markets and economic factors changed during the COVID-19 pandemic?

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  • Dong, Xiyong
  • Song, Li
  • Yoon, Seong-Min

Abstract

This study investigates how the dependence structures between stock markets and economic factors have changed during the COVID-19 pandemic using the dynamic model averaging approach. A series of economic factors such as commodity markets, cryptocurrency, monetary policy, international capital flows, and market uncertainty indices are considered. We find that the importance of economic variables and the sign and size of their coefficients are significantly different from those before the COVID-19 pandemic. The stock markets are most influenced by economic factors during the COVID-19 outbreak.

Suggested Citation

  • Dong, Xiyong & Song, Li & Yoon, Seong-Min, 2021. "How have the dependence structures between stock markets and economic factors changed during the COVID-19 pandemic?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    • Handle: RePEc:eee:ecofin:v:58:y:2021:i:c:s106294082100156x
    DOI: 10.1016/j.najef.2021.101546
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    Cited by:

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    3. Klose, Jens & Tillmann, Peter, 2022. "The Real and Financial Impact of COVID-19 Around the World," VfS Annual Conference 2022 (Basel): Big Data in Economics 264030, Verein für Socialpolitik / German Economic Association.
    4. Jens Klose & Peter Tillmann, 2023. "The stock market and NO2 emissions effects of COVID‐19 around the world," Economics and Politics, Wiley Blackwell, vol. 35(2), pages 556-594, July.
    5. Okorie, David Iheke & Lin, Boqiang, 2023. "Cryptocurrency spectrum and 2020 pandemic: Contagion analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 29-38.
    6. Liu, Yan & Cheng, Xian & Liao, Stephen Shaoyi & Yang, Feng, 2023. "The impact of COVID-19 on the tourism and hospitality Industry: Evidence from international stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    7. 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).
    8. Oliyide, Johnson A. & Adekoya, Oluwasegun B. & Marie, Mohamed & Al-Faryan, Mamdouh Abdulaziz Saleh, 2023. "Green finance and commodities: Cross-market connectedness during different COVID-19 episodes," Resources Policy, Elsevier, vol. 85(PA).

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    More about this item

    Keywords

    COVID-19; Stock markets; Economic factors; Dynamic model averaging;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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