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Market reaction, COVID-19 pandemic and return distribution

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  • Jin, Chenglu
  • Lu, Xingyu
  • Zhang, Yihan

Abstract

The Coronavirus (COVID-19) pandemic is disrupting the world. Employing an event study, we find cross-country evidence that stock markets all significantly react to COVID-19, but with different speeds, strengths and directions. Moreover, reactions to COVID-19 also vary across quantile levels of return distributions in any given country, by using a augmented quantile auto-regression approach. US (Indian) markets generally show overreaction (underreaction), while Stock markets in Australia, Germany, Japan and UK overreact to the pandemic when quantile returns are below the median.

Suggested Citation

  • Jin, Chenglu & Lu, Xingyu & Zhang, Yihan, 2022. "Market reaction, COVID-19 pandemic and return distribution," Finance Research Letters, Elsevier, vol. 47(PB).
    • Handle: RePEc:eee:finlet:v:47:y:2022:i:pb:s1544612322000290
    DOI: 10.1016/j.frl.2022.102701
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    References listed on IDEAS

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    Cited by:

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    2. Kumar, Rahul & Pandey, Dharen Kumar & Goodell, John W., 2023. "Market reactions to layoff announcements during crises: Examining impacts and conditioners," Finance Research Letters, Elsevier, vol. 58(PB).
    3. Kumari, Vineeta & Kumar, Gaurav & Pandey, Dharen Kumar, 2023. "Are the European Union stock markets vulnerable to the Russia–Ukraine war?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    4. Gu, Tiantian & Venkateswaran, Anand & Erath, Marc, 2023. "Impact of fiscal stimulus on volatility: A cross-country analysis," Research in International Business and Finance, Elsevier, vol. 65(C).
    5. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Ji, Qiang, 2024. "Price effects after one-day abnormal returns and crises in the stock markets," Research in International Business and Finance, Elsevier, vol. 70(PA).
    6. Gulati, Rachita & Charles, Vincent & Hassan, M. Kabir & Kumar, Sunil, 2023. "COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    7. Pandey, Dharen Kumar & Kumar, Satish & Kumari, Vineeta & Alahdal, Waleed M., 2024. "Quaking the stock market: Event study evidence on the Turkey-Syria earthquake," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 182-194.
    8. Jiang, Tingfeng & Liu, Taoxiong & Tang, Ke & Zeng, Jiaqing, 2022. "Online prices and inflation during the nationwide COVID-19 quarantine period: Evidence from 107 Chinese websites," Finance Research Letters, Elsevier, vol. 49(C).
    9. Samuel Tabot Enow, 2022. "Overreaction And Underreaction During The Covid-19 Pandemic In The South African Stock Market And Its Implications," Eurasian Journal of Business and Management, Eurasian Publications, vol. 10(1), pages 19-26.
    10. Samuel Tabot ENOW, 2022. "Evidence of Adaptive Market Hypothesis in International Financial Markets," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 13(2), pages 48-55, December.

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    More about this item

    Keywords

    Market reaction; COVID-19 pandemic; Return distributions; Event study; Quantile auto-regression approach;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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