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Herding behavior during the Covid-19 pandemic: a comparison between Asian and European stock markets based on intraday multifractality

Author

Listed:
  • Faheem Aslam

    (Comsats University
    Hanyang University)

  • Paulo Ferreira

    (VALORIZA—Research Center for Endogenous Resource Valorization
    Polytechnic Institute of Portalegre
    CEFAGE-UE, IIFA, University of Évora)

  • Haider Ali

    (Comsats University)

  • Sumera Kauser

    (Comsats University)

Abstract

With the spread of Covid-19, investors’ expectations changed during 2020, as well as financial markets’ policy responses and the structure of global financial intermediation itself. These dynamics are studied in this paper, which analyzes quarterly changes in herding behavior by quantifying the self-similarity intensity of six stock markets in Asia and Europe. A multifractal detrended fluctuation analysis (MFDFA) is applied, using intraday trade prices with a 15-min frequency from Jan-2020 to Dec-2020. The empirical results confirm that Covid-19 had a significant impact on the efficiency of the stock markets under study, although with a quarterly varying impact. During the first quarter of the year, European stock markets remained efficient compared to Asian markets; in the subsequent two quarters, the Chinese stock market showed significant improvement in its efficiency and became the least inefficient market, with a decline in the market efficiency of the UK and Japan. Furthermore, European markets are more sensitive to asset losses than Asian markets, so investors are more likely to show herding in the former. Herding was at its peak during the 2nd quarter of 2020. These findings could be related to possible market inefficiencies and herding behavior, implying the possibility of investors forming profitable trading strategies.

Suggested Citation

  • Faheem Aslam & Paulo Ferreira & Haider Ali & Sumera Kauser, 2022. "Herding behavior during the Covid-19 pandemic: a comparison between Asian and European stock markets based on intraday multifractality," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 333-359, June.
  • Handle: RePEc:spr:eurase:v:12:y:2022:i:2:d:10.1007_s40822-021-00191-4
    DOI: 10.1007/s40822-021-00191-4
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    2. An Pham Ngoc Nguyen & Thomas Conlon & Martin Crane & Marija Bezbradica, 2024. "Herding Unmasked: Insights into Cryptocurrencies, Stocks and US ETFs," Papers 2407.08069, arXiv.org.
    3. Marina Yu. Malkina & Dmitry Yu. Rogachev, 2024. "Financial Contagion of the Russian Stock Market from the European Stock Market During the COVID-19 Pandemic," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 27-42, April.
    4. Samuel Tabot Enow, 2023. "Financial Contagion and Duration: Evidence from International Financial Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 13(4), pages 1-7, July.
    5. Aslam, Faheem & Memon, Bilal Ahmed & Hunjra, Ahmed Imran & Bouri, Elie, 2023. "The dynamics of market efficiency of major cryptocurrencies," Global Finance Journal, Elsevier, vol. 58(C).

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    More about this item

    Keywords

    Covid-19; Fractals; Herding; High-frequent data; Multifractality;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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