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Covid-19 Infections and the Performance of the Stock Market: An Empirical Analysis for Australia


  • Markus Brueckner
  • Joaquin Vespignani


Using daily data, we estimate a vector autoregression model to characterize the dynamic relationship between Covid-19 infections in Australia and the performance of the Australian stock market, specifically, the ASX-200. Impulse response functions show that Covid-19 infections in Australia have a significant positive effect on the performance of the stock market: a one standard deviation increase in new registered cases of Covid-19 infections in Australia increases the daily growth rate of the ASX-200 by around half a percentage point. This result is robust to alternative lag selections of the VAR model as suggested by alternative information criteria; including in the model the USD-AUD exchange rate and the international oil price; including in the model news by the World Health Organization regarding a Covid-19 pandemic and public health emergency; and including in the model the government-imposed shutdown of parts of the Australian economy. We also present estimates of the dynamic relationship between the daily growth rate of the Dow Jones and daily new cases of Covid-19 infections in the US. The US data show, similar to the Australian data, that there is a significant positive effect of Covid-19 infections on the performance of the stock market.

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  • Markus Brueckner & Joaquin Vespignani, 2020. "Covid-19 Infections and the Performance of the Stock Market: An Empirical Analysis for Australia," ANU Working Papers in Economics and Econometrics 2020-674, Australian National University, College of Business and Economics, School of Economics.
  • Handle: RePEc:acb:cbeeco:2020-674

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    1. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    2. Editors, 2020. "Software updates," Stata Journal, StataCorp LP, vol. 20(2), pages 504-504, June.
    3. Caggiano, Giovanni & Castelnuovo, Efrem & Kima, Richard, 2020. "The global effects of Covid-19-induced uncertainty," Economics Letters, Elsevier, vol. 194(C).
    4. Editors, 2020. "Software updates," Stata Journal, StataCorp LP, vol. 20(3), pages 757-758, September.
    5. Valerie A. Ramey, 2011. "Identifying Government Spending Shocks: It's all in the Timing," The Quarterly Journal of Economics, Oxford University Press, vol. 126(1), pages 1-50.
    6. Valerie A. Ramey & Sarah Zubairy, 2018. "Government Spending Multipliers in Good Times and in Bad: Evidence from US Historical Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 850-901.
    7. repec:zbw:bofrdp:2020_011 is not listed on IDEAS
    8. R. Andres Castaneda Aguilar & Tony H. M. J. Fujs & Dean M. Jolliffe & Christoph Lakner & Daniel Gerszon Mahler & Minh C. Nguyen & Marta Schoch & David L. Vargas Mogollon & Martha C. Viveros Mendoza & , 2020. "September 2020 PovcalNet Update: What's New," Global Poverty Monitoring Technical Note Series 14, The World Bank.
    9. Albert Lee & Amelia Lo & Queenie Li & Vera Keung & Amy Kwong, 2020. "Health Promoting Schools: An Update," Applied Health Economics and Health Policy, Springer, vol. 18(5), pages 605-623, October.
    10. Sterk, Vincent & SedlÃ¡Ä ek, Petr, 2020. "Startups and Employment Following the COVID-19 Pandemic: A Calculator," CEPR Discussion Papers 14671, C.E.P.R. Discussion Papers.
    11. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    12. Editors, 2020. "Software updates," Stata Journal, StataCorp LP, vol. 20(4), pages 1028-1030, December.
    13. Editors, 2020. "Software updates," Stata Journal, StataCorp LP, vol. 20(1), pages 250-251, March.
    14. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Stephen J. Terry, 2020. "COVID-Induced Economic Uncertainty," NBER Working Papers 26983, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Samet Gunay & Walid Bakry & Somar Al-Mohamad, 2021. "The Australian Stock Market’s Reaction to the First Wave of the COVID-19 Pandemic and Black Summer Bushfires: A Sectoral Analysis," JRFM, MDPI, vol. 14(4), pages 1-19, April.
    2. Ștefan Cristian Gherghina & Daniel Ștefan Armeanu & Camelia Cătălina Joldeș, 2021. "COVID-19 Pandemic and Romanian Stock Market Volatility: A GARCH Approach," JRFM, MDPI, vol. 14(8), pages 1-29, July.
    3. Swarnil Roy & Sk. Riad Arefin & Avijit Mallik, 2023. "How Volatility and Herding of the Stock Markets in the Oceania Region Influence Investors and Policymakers: A Sector-Wise Exploration in Pre and Post-COVID Period," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 15(1), pages 1-24, January.
    4. Kamal, Javed Bin & Wohar, Mark, 2023. "Heterogenous responses of stock markets to covid related news and sentiments: Evidence from the 1st year of pandemic," International Economics, Elsevier, vol. 173(C), pages 68-85.
    5. Greta Keliuotyte-Staniuleniene & Julius Kviklis, 2021. "Stock Market Reactions during Different Phases of the COVID-19 Pandemic: Cases of Italy and Spain," Economies, MDPI, vol. 10(1), pages 1, December.

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    More about this item

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • I00 - Health, Education, and Welfare - - General - - - General

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