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dc.contributor.authorVrontos, Ioannis D.en
dc.contributor.authorGiakoumatos, Stefanos G.en
dc.contributor.authorDellaportas, Petrosen
dc.contributor.authorPolitis, Dimitris Nicolasen
dc.creatorVrontos, Ioannis D.en
dc.creatorGiakoumatos, Stefanos G.en
dc.creatorDellaportas, Petrosen
dc.creatorPolitis, Dimitris Nicolasen
dc.date.accessioned2019-12-02T10:38:48Z
dc.date.available2019-12-02T10:38:48Z
dc.date.issued2001
dc.identifier.issn1524-1904
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57762
dc.description.abstractThe multivariate time-varying volatility models have recently attracted a lot of attention in the statistics/econometrics community. We apply two bivariate ARCH-GARCH models and a bivariate unobserved ARCH model to a series of exchange rates, and we estimate the parameters using Bayesian inference. We compare these models using a posterior predictive model diagnostic. Copyright © 2001 John Wiley & Sons, Ltd.en
dc.sourceApplied Stochastic Models in Business and Industryen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33749156419&partnerID=40&md5=b1e826a62dac4265b58c93f406a05d47
dc.subjectPredictive distributionen
dc.subjectGeneralized autoregressive heteroskedasticityen
dc.subjectMCMCen
dc.subjectUnobserved archen
dc.titleAn application of three bivariate time-varying volatility modelsen
dc.typeinfo:eu-repo/semantics/article
dc.description.volume17
dc.description.issue1
dc.description.startingpage109
dc.description.endingpage120
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.source.abbreviationAppl Stochastic Models Bus Indusen
dc.contributor.orcidVrontos, Ioannis D. [0000-0002-3283-6668]
dc.gnosis.orcid0000-0002-3283-6668


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