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Article: Estimating contagion mechanism in global equity market with time‐zone effect

TitleEstimating contagion mechanism in global equity market with time‐zone effect
Authors
Keywordsfinancial contagion
LASSO
network
time-zone effect
VAR models
Issue Date3-Jul-2023
PublisherWiley
Citation
Financial Management, 2023, v. 52, n. 3, p. 543-572 How to Cite?
Abstract

This paper proposes a time-zone vector autoregressive (VAR) model to investigate comovements in the global financial market. Analyzing daily data from 36 national equity markets, we explore the subprime and European debt crises using static analysis and the COVID-19 crisis through a rolling window method. Our study of comovements using VAR coefficients reveals a resonance effect in the global system. Findings on densities and assortativities suggest the existence of the transmission mechanism in all periods and abnormal structural changes during the crises. Strength analysis uncovers the information transmission mechanism across continents over normal and turmoil periods and emphasizes specific stock markets' unique roles. We examine dynamic continent strengths to demonstrate the contagion mechanism in the global equity market over an extended period. Incorporating the time-zone effect significantly enhances the VAR model's interpretability. Signed networks provide more information on global equity markets and better identify critical contagion patterns than unsigned networks.


Persistent Identifierhttp://hdl.handle.net/10722/333936
ISSN
2023 Impact Factor: 2.9
2023 SCImago Journal Rankings: 2.131
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWu, Boyao-
dc.contributor.authorHuang, Difang-
dc.contributor.authorChen, Muzi-
dc.date.accessioned2023-10-10T03:14:33Z-
dc.date.available2023-10-10T03:14:33Z-
dc.date.issued2023-07-03-
dc.identifier.citationFinancial Management, 2023, v. 52, n. 3, p. 543-572-
dc.identifier.issn0046-3892-
dc.identifier.urihttp://hdl.handle.net/10722/333936-
dc.description.abstract<p>This paper proposes a time-zone vector autoregressive (VAR) model to investigate comovements in the global financial market. Analyzing daily data from 36 national equity markets, we explore the subprime and European debt crises using static analysis and the COVID-19 crisis through a rolling window method. Our study of comovements using VAR coefficients reveals a resonance effect in the global system. Findings on densities and assortativities suggest the existence of the transmission mechanism in all periods and abnormal structural changes during the crises. Strength analysis uncovers the information transmission mechanism across continents over normal and turmoil periods and emphasizes specific stock markets' unique roles. We examine dynamic continent strengths to demonstrate the contagion mechanism in the global equity market over an extended period. Incorporating the time-zone effect significantly enhances the VAR model's interpretability. Signed networks provide more information on global equity markets and better identify critical contagion patterns than unsigned networks.<br></p>-
dc.languageeng-
dc.publisherWiley-
dc.relation.ispartofFinancial Management-
dc.subjectfinancial contagion-
dc.subjectLASSO-
dc.subjectnetwork-
dc.subjecttime-zone effect-
dc.subjectVAR models-
dc.titleEstimating contagion mechanism in global equity market with time‐zone effect-
dc.typeArticle-
dc.identifier.doi10.1111/fima.12430-
dc.identifier.scopuseid_2-s2.0-85164341628-
dc.identifier.volume52-
dc.identifier.issue3-
dc.identifier.spage543-
dc.identifier.epage572-
dc.identifier.eissn1755-053X-
dc.identifier.isiWOS:001020778500001-
dc.identifier.issnl0046-3892-

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