Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14536
DC FieldValueLanguage
dc.contributor.authorKoutmos, Gregory-
dc.contributor.authorTheodossiou, Panayiotis-
dc.contributor.otherΘεοδοσίου, Παναγιώτης-
dc.date.accessioned2019-07-15T07:28:35Z-
dc.date.available2019-07-15T07:28:35Z-
dc.date.issued1994-04-
dc.identifier.citationManagerial and Decision Economics, 1994, vol. 15, no. 2, pp.159-167en_US
dc.identifier.issn10991468-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/14536-
dc.description.abstractThis paper explores the time‐series properties and predictability of weekly percentage changes in the Greek drachma exchange rates with respect to the currencies of major trading‐partner countries, such as the USA, Germany, the UK, France, Italy and Japan. The analysis is carried out using the EGARCH‐M model along with the power exponential distribution. Percentage changes in the Greek drachma with respect to the German mark, the French franc, the Italian lira and Japanese yen are predictable using past information. The volatility of Greek exchange rates is best represented by an EGARCH process and as such is predictable using past volatility measures. Moreover, volatility of the Greek drachma with respect to the German mark and Italian lira positively influences future movements in these exchange rates. The hypothesis that volatility is an asymmetric function of past innovations is rejected in all cases. Following the inclusion of the Greek drachma in the ECU currency basket, its value has been depreciating at a higher rate with respect to the German mark and Italian lira and at a lower rate with respect to the US dollar. Also, its volatility with respect to the German mark, the French franc, and the Italian lira has decreased, whereas its volatility with respect to the US dollar has increased.en_US
dc.language.isoenen_US
dc.relation.ispartofManagerial and Decision Economicsen_US
dc.rights© Wileyen_US
dc.titleTime‐series properties and predictability of Greek exchange ratesen_US
dc.typeArticleen_US
dc.collaborationFairfield Universityen_US
dc.collaborationRutgers University-Camden campusen_US
dc.subject.categoryEconomics and Businessen_US
dc.journalsSubscriptionen_US
dc.countryUnited Statesen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1002/mde.4090150208en_US
dc.relation.issue2en_US
dc.relation.volume15en_US
cut.common.academicyear1995-1996en_US
dc.identifier.spage159en_US
dc.identifier.epage167en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn1099-1468-
crisitem.journal.publisherWiley-
crisitem.author.deptDepartment of Finance, Accounting and Management Science-
crisitem.author.facultyFaculty of Management and Economics-
crisitem.author.orcid0000-0001-5556-2594-
crisitem.author.parentorgFaculty of Management and Economics-
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