IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-21-01078.html
   My bibliography  Save this article

Herd behavior and contagion effects of the COVID-19

Author

Listed:
  • Bruna K. S. Peixoto

    (Federal University of Ceará)

  • Roberto T Ferreira

    (Federal University of Ceará)

Abstract

This work uses structural change tests and the dynamic monitoring method through a new approach to verify whether an exogenous and unexpected event such as the COVID 19 pandemic crisis causes herd behavior and contagion effects. We use 12 indexes of the main world stock markets in daily frequency from 01/02/2019 to 01/22/2021. Initially, structural changes in returns and their volatility apparently had no relationship with the number of cases or deaths from the pandemic. However, between 3 and 13 March this situation changes. Structural breaks, controlled by the market comovement and occurring sequentially, provide evidence of contagion. The statistically significant increase in the correlation between individual and market returns indicates herd behavior in most cases analyzed.

Suggested Citation

  • Bruna K. S. Peixoto & Roberto T Ferreira, 2023. "Herd behavior and contagion effects of the COVID-19," Economics Bulletin, AccessEcon, vol. 43(2), pages 1036-1046.
    • Handle: RePEc:ebl:ecbull:eb-21-01078
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2023/Volume43/EB-23-V43-I2-P85.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    2. Corsetti, Giancarlo & Pericoli, Marcello & Sbracia, Massimo, 2005. "'Some contagion, some interdependence': More pitfalls in tests of financial contagion," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1177-1199, December.
    3. Achim Zeileis, 2005. "A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 445-466.
    4. Guo, Yanhong & Li, Ping & Li, Aihua, 2021. "Tail risk contagion between international financial markets during COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 73(C).
    5. Liu, Yuntong & Wei, Yu & Wang, Qian & Liu, Yi, 2022. "International stock market risk contagion during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 45(C).
    6. Jung, R.C. & Maderitsch, R., 2014. "Structural breaks in volatility spillovers between international financial markets: Contagion or mere interdependence?," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 331-342.
    7. Corbet, Shaen & Hou, Yang & Hu, Yang & Lucey, Brian & Oxley, Les, 2021. "Aye Corona! The contagion effects of being named Corona during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 38(C).
    8. Guglielmo Maria Caporale & Nikolaos Philippas & Fotini Economou, 2008. "Herding behaviour in extreme market conditions: the case of the Athens Stock Exchange," Economics Bulletin, AccessEcon, vol. 7(17), pages 1-13.
    9. Richard T. Ampofo & Eric N. Aidoo & Bernard O. Ntiamoah & Ophelia Frimpong & Daniel Sasu, 2023. "An empirical investigation of COVID-19 effects on herding behaviour in USA and UK stock markets using a quantile regression approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 517-540, June.
    10. Albulescu, Claudiu Tiberiu, 2021. "COVID-19 and the United States financial markets’ volatility," Finance Research Letters, Elsevier, vol. 38(C).
    11. repec:ebl:ecbull:v:7:y:2008:i:17:p:1-13 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    2. Alshater, Muneer M. & Alqaralleh, Huthaifa & El Khoury, Rim, 2023. "Dynamic asymmetric connectedness in technological sectors," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    3. Fang, Yi & Shao, Zhiquan & Zhao, Yang, 2023. "Risk spillovers in global financial markets: Evidence from the COVID-19 crisis," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 821-840.
    4. Arfaoui, Nadia & Naeem, Muhammad Abubakr & Boubaker, Sabri & Mirza, Nawazish & Karim, Sitara, 2023. "Interdependence of clean energy and green markets with cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    5. Klein, Arne C., 2013. "Time-variations in herding behavior: Evidence from a Markov switching SUR model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 291-304.
    6. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).
    7. Islam, Raisul & Volkov, Vladimir, 2020. "Calm before the storm: an early warning approach before and during the COVID-19 crisis," Working Papers 2020-09, University of Tasmania, Tasmanian School of Business and Economics.
    8. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets," Energy Economics, Elsevier, vol. 98(C).
    9. Ghazani, Majid Mirzaee & Khosravi, Reza & Caporin, Massimiliano, 2023. "Analyzing interconnection among selected commodities in the 2008 global financial crisis and the COVID-19 pandemic," Resources Policy, Elsevier, vol. 80(C).
    10. Semei Coronado & Jose N. Martinez & Victor Gualajara & Rafael Romero-Meza & Omar Rojas, 2023. "Time-Varying Granger Causality of COVID-19 News on Emerging Financial Markets: The Latin American Case," Mathematics, MDPI, vol. 11(2), pages 1-18, January.
    11. Jarosław Duda & Henryk Gurgul & Robert Syrek, 2022. "Multi-feature evaluation of financial contagion," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1167-1194, December.
    12. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna, 2023. "Investor Attention and Global Stock Market Volatility: Evidence from COVID-19," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 22(1), pages 85-104, March.
    13. Charilaos Mertzanis & Noha Allam, 2018. "Political Instability and Herding Behaviour: Evidence from Egypt’s Stock Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1), pages 29-59, April.
    14. Dilip Kumar, 2019. "Structural Breaks in Volatility Transmission from Developed Markets to Major Asian Emerging Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(2), pages 172-209, August.
    15. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    16. Mobarek, Asma & Mollah, Sabur & Keasey, Kevin, 2014. "A cross-country analysis of herd behavior in Europe," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 107-127.
    17. Mateus, Cesario & Chinthalapati, Raju & Mateus, Irina B., 2017. "Intraday industry-specific spillover effect in European equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 278-298.
    18. Cakici, Nusret & Zaremba, Adam, 2021. "Who should be afraid of infections? Pandemic exposure and the cross-section of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    19. Mbarki, Imen & Omri, Abdelwahed & Naeem, Muhammad Abubakr, 2022. "From sentiment to systemic risk: Information transmission in Asia-Pacific stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    20. Bampinas, Georgios & Panagiotidis, Theodore, 2024. "How would the war and the pandemic affect the stock and cryptocurrency cross-market linkages?," Research in International Business and Finance, Elsevier, vol. 70(PA).

    More about this item

    Keywords

    Herd behavior; contagion effects; structural changes;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • F3 - International Economics - - International Finance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-21-01078. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.