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Black swan events and COVID-19 outbreak: sector level evidence from the US, UK, and European stock markets

Ahmad, Wasim, Kutan, Ali M. and Gupta, Smarth (2021) Black swan events and COVID-19 outbreak: sector level evidence from the US, UK, and European stock markets. International Review of Economics and Finance, 75. 546 - 557. ISSN 1059-0560

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Identification Number: 10.1016/j.iref.2021.04.007

Abstract

Studies investigating the impact of coronavirus outbreak at the sector (industry) level are scant and focus on the USA market. We examine this issue for the US, UK, and the European stock markets, using endogenous structural break models and factor-augmented event study methodology by identifying the critical events. We find that the impact of coronavirus outbreak to the extent of black swan events is visible in March and, till the end of March 2020, the investors had limited opportunities for investment except for a few sectors in the US, UK, and Europe due to black swan events. Specifically, we find some stocks in consumer staples, healthcare, telecommunications, utilities, and financials were the attention-seekers and different sectors in our sample countries had different reactions to the outbreak. Overall, the analysis provides the reasons for panic buy and sell.

Item Type: Article
Official URL: https://www.sciencedirect.com/journal/internationa...
Additional Information: © 2021 Elsevier Inc.
Divisions: India Observatory
Subjects: H Social Sciences > HG Finance
H Social Sciences > HV Social pathology. Social and public welfare. Criminology
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
JEL classification: G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency; Event Studies
G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing; Trading volume; Bond Interest Rates
G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing; Futures Pricing
C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors > C34 - Truncated and Censored Models
Date Deposited: 16 Jan 2023 14:39
Last Modified: 23 May 2024 23:18
URI: http://eprints.lse.ac.uk/id/eprint/117902

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