Modelling the Dependency between Inflation and Exchange Rate Using Copula

dc.bibliographicCitation.journalTitleJournal of probability and statisticseng
dc.bibliographicCitation.volume2020eng
dc.contributor.authorKwofie, Charles
dc.contributor.authorAkoto, Isaac
dc.contributor.authorOpoku-Ameyaw, Kwaku
dc.date.accessioned2022-06-21T09:39:36Z
dc.date.available2022-06-21T09:39:36Z
dc.date.issued2020
dc.description.abstractIn this paper, we propose a copula approach in measuring the dependency between inflation and exchange rate. In unveiling this dependency, we first estimated the best GARCH model for the two variables. Then, we derived the marginal distributions of the standardised residuals from the GARCH. The Laplace and generalised t distributions best modelled the residuals of the GARCH(1,1) models, respectively, for inflation and exchange rate. These marginals were then used to transform the standardised residuals into uniform random variables on a unit interval [0, 1] for estimating the copulas. Our results show that the dependency between inflation and exchange rate in Ghana is approximately 7%.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/9093
dc.identifier.urihttps://doi.org/10.34657/8131
dc.language.isoengeng
dc.publisherNew York, NY : Hindawieng
dc.relation.doihttps://doi.org/10.1155/2020/2345746
dc.relation.essn1687-9538
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc510eng
dc.titleModelling the Dependency between Inflation and Exchange Rate Using Copulaeng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorWIASeng
wgl.subjectMathematikeng
wgl.typeZeitschriftenartikeleng
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