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dc.contributor.authorOrtega Jiménez, Patricia 
dc.contributor.authorSordo Díaz, Miguel Ángel 
dc.contributor.authorSuárez Llorens, Alfonso 
dc.contributor.otherEstadística e Investigación Operativaes_ES
dc.date.accessioned2023-12-19T18:34:26Z
dc.date.available2023-12-19T18:34:26Z
dc.date.issued2021
dc.identifier.issn0167-6687
dc.identifier.urihttp://hdl.handle.net/10498/29859
dc.description.abstractCo-risk measures and risk contributions measures are used in portfolio risk analysis to assess and quantify the risk of contagion, given that one or more assets in the portfolio are in distress. In this paper, given two random vectors X and Y that represent two portfolios of n assets (n ≥ 2) and exhibit some kind of positive dependence, we give sufficient conditions based on stochastic orders to compare the risk of contagion of the portfolios. The measures of risk contagion that we consider are the conditional value at risk (CoVaR), the conditional expected shortfall (CoES) and the recently introduced marginal mean excess (MME).es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceInsurance: Mathematics and Economics - 2021 Vol. 96 pp. 199-207es_ES
dc.subjectrisk measurees_ES
dc.subjectContagion riskes_ES
dc.subjectStochastic orderses_ES
dc.subjectCoVaRes_ES
dc.subjectCoESes_ES
dc.titleStochastic orders and multivariate measures of risk contagiones_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.insmatheco.2020.11.008
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89577-P/ES/ORDENACIONES ESTOCASTICAS APLICADAS A LOS SEGUROS, LAS FINANZAS Y LA FIABILIDAD DE SISTEMAS/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Andalucía//FEDER-UCA18-107519es_ES
dc.type.hasVersionAMes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional