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dc.contributor.authorTófoli, Paula Virgíniapt_BR
dc.contributor.authorZiegelmann, Flavio Augustopt_BR
dc.contributor.authorSilva Filho, Osvaldo Candido dapt_BR
dc.date.accessioned2018-07-04T02:26:58Zpt_BR
dc.date.issued2017pt_BR
dc.identifier.issn1916-971Xpt_BR
dc.identifier.urihttp://hdl.handle.net/10183/180057pt_BR
dc.description.abstractIn this paper, we introduce a new approach to modeling dependence between international financial returns over time, combining time-varying copulas and the Markov switching model. We apply these copula models and also those proposedby Patton (2006), Jondeau and Rockinger (2006) and Silva Filho, Ziegelmann,and Dueker (2012) to the return data of the FTSE-100, CAC-40 and DAX indexes. We are particularly interested in comparing these methodologies in terms of the resulting dynamics ofdependence and the models’abilities to forecast possible capital losses. Because risks related to extreme events are important for risk management, we compare and select the models based on VaR forecasts. Interestingly, all the models identify a long period of high dependence between the returns beginning in 2007, when the subprime crisis was evolving. Surprisingly, the elliptical copulas perform best in forecasting the extreme quantiles of the portfolios returns.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofInternational Journal of Economics and Finance. Toronto, Canada. Vol. 9, no. 10 (Oct. 2017), p. 155-178pt_BR
dc.rightsOpen Accessen
dc.subjectCópulas : Estatísticapt_BR
dc.subjectcopula -GARCHen
dc.subjectIFM methoden
dc.subjectCadeias de Markovpt_BR
dc.subjectMarkGARCHen
dc.subjectEstudo comparativopt_BR
dc.subjectMarkov switching modelen
dc.subjectSéries temporaispt_BR
dc.subjectEconometriapt_BR
dc.subjectTime-varyng copulasen
dc.subjectValue at risken
dc.titleA comparison study of copula models for European Financial Index Returnspt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001066835pt_BR
dc.type.originEstrangeiropt_BR


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