COVID-19 news and the US equity market interactions: An inspection through econometric and machine learning lensVise andre og tillknytning
2025 (engelsk)Inngår i: Annals of Operations Research, ISSN 0254-5330, E-ISSN 1572-9338, Vol. 345, nr 2-3, s. 575-596Artikkel i tidsskrift (Fagfellevurdert) 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.
sted, utgiver, år, opplag, sider
SPRINGER , 2025. Vol. 345, nr 2-3, s. 575-596
Emneord [en]
COVID-19; The US equity market; Co-integration; Detrended cross-correlation analysis; Machine learning
HSV kategori
Identifikatorer
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
Merknad
Funding Agencies|National Funds of the FCT-Portuguese Foundation for Science and Technology [UIDB/ECO/03182/2020]
2022-06-212022-06-212025-04-23