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COVID-19 and the liquidity network

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  • Farzami, Yasmine
  • Gregory-Allen, Russell
  • Molchanov, Alexander
  • Sehrish, Saba

Abstract

We investigate the impact of the COVID-19 pandemic on liquidity interlinkages of US industry groups. We employ a lead-lag liquidity network method that allows us to analyse liquidity interrelationships beyond contemporaneous spillover effects. We document that sectors differ in their liquidity interactions during the pre-COVID period, with some sectors more interlinked than others. We also document that the crisis induced by COVID had a significant effect on the liquidity network, with all sectors becoming more interconnected relative to the pre-COVID period. The effect varies across industries, with the utilities sector being the most affected, and telecommunication services the least.

Suggested Citation

  • Farzami, Yasmine & Gregory-Allen, Russell & Molchanov, Alexander & Sehrish, Saba, 2021. "COVID-19 and the liquidity network," Finance Research Letters, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:finlet:v:42:y:2021:i:c:s1544612321000180
    DOI: 10.1016/j.frl.2021.101937
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    References listed on IDEAS

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    Cited by:

    1. Farooque, Omar Al & Baghdadi, Ghasan & Trinh, Hai Hong & Khandaker, Sarod, 2023. "Stock liquidity during COVID-19 crisis: A cross-country analysis of developed and emerging economies, and economic policy uncertainty," Emerging Markets Review, Elsevier, vol. 55(C).
    2. Kameliya Savova, 2022. "Effects of COVID-19 in the Financial Statements for a Year of Global Pandemic – Evidence from Bulgaria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 111-129.
    3. Iyer, Subramanian Rama & Simkins, Betty J., 2022. "COVID-19 and the Economy: Summary of research and future directions," Finance Research Letters, Elsevier, vol. 47(PB).
    4. Zhou, Shengjie & Ye, Qing, 2023. "Margin trading and spillover effects: Evidence from the Chinese stock markets," Emerging Markets Review, Elsevier, vol. 54(C).
    5. Banerjee, Anirban & Nawn, Samarpan, 2024. "Proprietary algorithmic traders and liquidity supply during the pandemic," Finance Research Letters, Elsevier, vol. 61(C).

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    More about this item

    Keywords

    COVID-19 pandemic; Liquidity interconnectedness; Lead-lag liquidity network; Granger-causality; Sector analysis;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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