Assessing the time-frequency co-movements among the five largest engineering consulting companies: A wavelet-base metrics of contagion and VaR ratio

dc.contributor.authorAlbuquerque Junior, M.
dc.contributor.authorFilipe, J.
dc.contributor.authorNeto, P. M. J.
dc.contributor.authorSilva, C. Da
dc.date.accessioned2021-10-07T08:32:29Z
dc.date.available2021-10-07T08:32:29Z
dc.date.issued2021
dc.date.updated2021-10-07T09:32:03Z
dc.description.abstractDiversification in a portfolio is an important tool for the systematic risk management that is inherent to different asset classes. The composition of a portfolio with domestic and international assets is seen as one of the main alternatives for building a diversified portfolio, as this approach tends to reduce portfolio return exposure depending on country factors. However, in scenarios where industry factors are predominant, international diversification can increase systematic risk in a portfolio centered on a single asset class. This study is a pioneer in using wavelet-based methods to identify intersectoral co-movements, based on a portfolio of shares of the world’s top five consulting engineering companies, providing an innovative way to be applied to this phenomenon. Our evidence indicates that companies share a strong pattern of co-movements among themselves, especially in cycles of 32 to 64 days, suggesting a higher exposure to risk for portfolios with an investment horizon in long-term cycles.eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.3390/math9050504
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10071/23301
dc.journalMathematics
dc.language.isoeng
dc.number5
dc.peerreviewedyes
dc.publisherMDPI
dc.relationUIDB/00315/2020
dc.relationUIDB/04466/2020
dc.rightsopen access
dc.subjectWaveleteng
dc.subjectIndustry factorseng
dc.subjectCountry factorseng
dc.subjectValue at riskeng
dc.subjectCo-movementseng
dc.subjectCoherencyeng
dc.titleAssessing the time-frequency co-movements among the five largest engineering consulting companies: A wavelet-base metrics of contagion and VaR ratioeng
dc.typearticle
dc.volume9
degois.publication.issue5
degois.publication.titleAssessing the time-frequency co-movements among the five largest engineering consulting companies: A wavelet-base metrics of contagion and VaR ratioeng
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-85102555061
iscte.alternateIdentifiers.wosWOS:000628351700001
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-83425

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