DC ElementWertSprache
dc.contributor.authorde Souza, Lucas Pagel-
dc.contributor.authorKatenka, Natallia-
dc.contributor.authorRibberink, Natalia-
dc.date.accessioned2025-07-31T14:56:28Z-
dc.date.available2025-07-31T14:56:28Z-
dc.date.issued2025-
dc.identifier.isbn9798369362174en_US
dc.identifier.isbn9798369362167en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12738/17937-
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.subject.ddc650: Managementen_US
dc.titleA network-based approach to the implications of the COVID-19 pandemic on the Latin American minimum variance portfolioen
dc.typeinBooken_US
dc.identifier.scopus2-s2.0-105005921202en
dc.description.versionAlternativeRevieweden_US
local.contributorPerson.editorGalety, Mohammad Gouse-
local.contributorPerson.editorClaver, Jimbo Henri-
local.contributorPerson.editorSriharsha, A. V.-
local.contributorPerson.editorVajjhala, Narasimha Rao-
local.contributorPerson.editorNatarajan, Arul Kumar-
tuhh.container.endpage372en_US
tuhh.container.startpage339en_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteDepartment Wirtschaften_US
tuhh.publication.instituteFakultät Wirtschaft und Sozialesen_US
tuhh.publisher.doi10.4018/979-8-3693-6215-0.ch013-
tuhh.relation.ispartofseriesAdvances in computational intelligence and robotics (ACIR) book seriesen_US
tuhh.type.opusInBuch (Kapitel / Teil einer Monographie)-
dc.contributor.orcid0009-0001-2628-8941en
dc.contributor.orcid0000-0003-2459-5814en
dc.contributor.orcid0000-0002-2753-9845en
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dc.type.dinibookPart-
dc.type.driverbookPart-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
dc.contributor.departmentcityHamburgen
dc.contributor.departmentcityKingstonen
dc.contributor.departmentcityHamburgen
dc.contributor.departmentcountryGermanyen
dc.contributor.departmentcountryUnited Statesen
dc.contributor.departmentcountryGermanyen
dc.contributor.departmenturlhttps://api.elsevier.com/content/affiliation/affiliation_id/60032697en
dc.contributor.departmenturlhttps://api.elsevier.com/content/affiliation/affiliation_id/60010806en
dc.contributor.departmenturlhttps://api.elsevier.com/content/affiliation/affiliation_id/60032697en
dc.source.typechen
tuhh.book.titleData analytics and AI for quantitative risk assessment and financial computationen_US
item.tuhhseriesidAdvances in computational intelligence and robotics (ACIR) book series-
item.languageiso639-1en-
item.creatorGNDde Souza, Lucas Pagel-
item.creatorGNDKatenka, Natallia-
item.creatorGNDRibberink, Natalia-
item.seriesrefAdvances in computational intelligence and robotics (ACIR) book series-
item.cerifentitytypePublications-
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item.creatorOrcidde Souza, Lucas Pagel-
item.creatorOrcidKatenka, Natallia-
item.creatorOrcidRibberink, Natalia-
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crisitem.author.deptDepartment Wirtschaft-
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crisitem.author.parentorgFakultät Wirtschaft und Soziales-
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