An empirical investigation of COVID-19 effects on herding behaviour in USA and UK stock markets using a quantile regression approach

Richard T. Ampofo (), Eric N. Aidoo (), Bernard O. Ntiamoah (), Ophelia Frimpong () and Daniel Sasu ()
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Richard T. Ampofo: Kwame Nkrumah University of Science and Technology
Eric N. Aidoo: Heriot-Watt University
Bernard O. Ntiamoah: Kwame Nkrumah University of Science and Technology
Ophelia Frimpong: University of Texas El Paso
Daniel Sasu: Bowling Green State University

Journal of Economics and Finance, 2023, vol. 47, issue 2, No 12, 517-540

Abstract: Abstract This study investigates the effects of the COVID-19 pandemic on herding behaviour among investors in two well-developed markets. Utilizing daily prices of stock indexes from the period of December 5, 2017 to February 28, 2022 for USA and January 9, 2018 to February 28, 2022 for UK, we test for herding behaviour using the quantile regression approach in addition to the OLS model. We found no evidence of herding before the COVID-19 pandemic in both bullish and bearish markets for USA and UK. However, herding incidence was discovered in the USA and UK bullish market during the COVID-19 period. In the bearish market, herding behaviour was only found during the COVID-19 period in USA. The study provides policymakers and investors with information to draw significant measures in their investment portfolio management during crises and pandemics.

Keywords: Herding behaviour; Quantile regression; USA and UK stock market; COVID-19; Asymmetry condition (search for similar items in EconPapers)
JEL-codes: C31 G14 G15 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s12197-022-09613-8

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