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A technical analysis approach to tourism demand forecasting

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dc.contributor.author Petropoulos, C en
dc.contributor.author Nikolopoulos, K en
dc.contributor.author Patelis, A en
dc.contributor.author Assimakopoulos, V en
dc.date.accessioned 2014-03-01T01:21:47Z
dc.date.available 2014-03-01T01:21:47Z
dc.date.issued 2005 en
dc.identifier.issn 1350-4851 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16369
dc.subject Technical Analysis en
dc.subject Tourism Demand en
dc.subject.classification Economics en
dc.subject.other forecasting method en
dc.subject.other modeling en
dc.subject.other tourism market en
dc.title A technical analysis approach to tourism demand forecasting en
heal.type journalArticle en
heal.identifier.primary 10.1080/13504850500065745 en
heal.identifier.secondary http://dx.doi.org/10.1080/13504850500065745 en
heal.language English en
heal.publicationDate 2005 en
heal.abstract Tourism demand forecasts are of great economic value both for the public and private sector. Any information concerning the future evolution of tourism flows, is of great importance to hoteliers, tour operators and other industries concerned with tourism or transportation, in order to adjust their policy and corporate finance. In the last few decades, numerous researchers have studied international tourism demand and a wide range of the available forecasting techniques have been tested. Major focus has been given to econometric studies that involve the use of least squares regression to estimate the quantitative relationship between tourism demand and its determinants. However, econometric models usually fail to outperform simple time series extrapolative models. This article introduces a new approach to tourism demand forecasting via incorporating technical analysis techniques. The proposed model is evaluated versus a range of classic univariate time series methods in terms of forecasting and directional accuracy. © 2005 Taylor & Francis Group Ltd. en
heal.publisher ROUTLEDGE TAYLOR & FRANCIS LTD en
heal.journalName Applied Economics Letters en
dc.identifier.doi 10.1080/13504850500065745 en
dc.identifier.isi ISI:000229479100001 en
dc.identifier.volume 12 en
dc.identifier.issue 6 en
dc.identifier.spage 327 en
dc.identifier.epage 333 en


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