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, Daniel Sasu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)517-540
Number of pages24
JournalJournal of Economics and Finance
Volume47
Issue number2
Early online date6 Jan 2023
DOIs
Publication statusPublished - Jun 2023

Keywords

  • Asymmetry condition
  • COVID-19
  • Herding behaviour
  • Quantile regression
  • USA and UK stock market

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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