liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
COVID-19 news and the US equity market interactions: An inspection through econometric and machine learning lens
Indian Inst Management Raipur, India.
Inst Management Technol Hyderabad, India.
Univ Lille, France.
Linköping University, Department of Management and Engineering, Economics. Linköping University, Faculty of Arts and Sciences.
Show others and affiliations
2025 (English)In: Annals of Operations Research, ISSN 0254-5330, E-ISSN 1572-9338, Vol. 345, no 2-3, p. 575-596Article in journal (Refereed) Published
Abstract [en]

This study investigates the impact of COVID-19 on the US equity market during the first wave of Coronavirus using a wide range of econometric and machine learning approaches. To this end, we use both daily data related to the US equity market sectors and data about the COVID-19 news over January 1, 2020-March 20, 2020. Accordingly, we show that at an early stage of the outbreak, global COVID-19s fears have impacted the US equity market even differently across sectors. Further, we also find that, as the pandemic gradually intensified its footprint in the US, local fears manifested by daily infections emerged more powerfully compared to its global counterpart in impairing the short-term dynamics of US equity markets.

Place, publisher, year, edition, pages
SPRINGER , 2025. Vol. 345, no 2-3, p. 575-596
Keywords [en]
COVID-19; The US equity market; Co-integration; Detrended cross-correlation analysis; Machine learning
National Category
Economics
Identifiers
URN: urn:nbn:se:liu:diva-186139DOI: 10.1007/s10479-022-04744-xISI: 000807941700003PubMedID: 35698596Scopus ID: 2-s2.0-85131601366OAI: oai:DiVA.org:liu-186139DiVA, id: diva2:1673815
Note

Funding Agencies|National Funds of the FCT-Portuguese Foundation for Science and Technology [UIDB/ECO/03182/2020]

Available from: 2022-06-21 Created: 2022-06-21 Last updated: 2025-04-23

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Search in DiVA

By author/editor
Uddin, Gazi Salah
By organisation
EconomicsFaculty of Arts and Sciences
In the same journal
Annals of Operations Research
Economics

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 67 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf