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Turbulence in the financial markets: Cross-country differences in market volatility in response to COVID-19 pandemic policies

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  • Steve J. Bickley
  • Martin Brumpton
  • Ho Fai Chan
  • Richard Colthurst
  • Benno Torgler

Abstract

The current coronavirus pandemic has had far-reaching global effects on the health and wellbeing of individuals across each and every continent of the world. The economic and financial market response has been equally disastrous and turbulent with high levels of volatility observed across international financial markets. This study explores the temporal relation between the observed structural breaks, market volatility and government policy interventions for 28 countries and their respective market indices. We present results which indicate that the establis hment of stay-at-home policies cause sharp discontinuities in 15 of the 28 markets (53.57%) and increase market efficiency in 30 of 49 stay-at-home policy establishment cases (61.22%). These results indicate a small, yet statistic ally significant degree of persistence and hence, predictability in international financial markets and their associated market indices in response to stay-at-home policies.

Suggested Citation

  • Steve J. Bickley & Martin Brumpton & Ho Fai Chan & Richard Colthurst & Benno Torgler, 2020. "Turbulence in the financial markets: Cross-country differences in market volatility in response to COVID-19 pandemic policies," CREMA Working Paper Series 2020-15, Center for Research in Economics, Management and the Arts (CREMA).
  • Handle: RePEc:cra:wpaper:2020-15
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    References listed on IDEAS

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    1. Laurent Calvet & Adlai Fisher, 2002. "Multifractality In Asset Returns: Theory And Evidence," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 381-406, August.
    2. Charles, Amélie & Darné, Olivier, 2014. "Volatility persistence in crude oil markets," Energy Policy, Elsevier, vol. 65(C), pages 729-742.
    3. Gopikrishnan, P. & Plerou, V. & Gabaix, X. & Amaral, L.A.N. & Stanley, H.E., 2001. "Price fluctuations and market activity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 137-143.
    4. Barkoulas, John T. & Baum, Christopher F., 1996. "Long-term dependence in stock returns," Economics Letters, Elsevier, vol. 53(3), pages 253-259, December.
    5. Faheem Aslam & Wahbeeah Mohti & Paulo Ferreira, 2020. "Evidence of Intraday Multifractality in European Stock Markets during the Recent Coronavirus (COVID-19) Outbreak," IJFS, MDPI, vol. 8(2), pages 1-13, May.
    6. Robert Savit, 1988. "When random is not random: An introduction to chaos in market prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(3), pages 271-290, June.
    7. Claudiu Albulescu, 2020. "Coronavirus and financial volatility: 40 days of fasting and fear," Papers 2003.04005, arXiv.org.
    8. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    9. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Brada, Josef C. & Gajewski, Paweł & Kutan, Ali M., 2021. "Economic resiliency and recovery, lessons from the financial crisis for the COVID-19 pandemic: A regional perspective from Central and Eastern Europe," International Review of Financial Analysis, Elsevier, vol. 74(C).
    2. Guven, Murat & Cetinguc, Basak & Guloglu, Bulent & Calisir, Fethi, 2022. "The effects of daily growth in COVID-19 deaths, cases, and governments’ response policies on stock markets of emerging economies," Research in International Business and Finance, Elsevier, vol. 61(C).

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