Tourism technical analysis system

Petropoulos, C; Nikolopoulos, K; Patelis, A; Assimakopoulos, V; Askounis, D

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.contributor.author	Askounis, D	en
dc.date.accessioned	2014-03-01T01:55:30Z
dc.date.available	2014-03-01T01:55:30Z
dc.date.issued	2006	en
dc.identifier.issn	13548166	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27759
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-33846804377&partnerID=40&md5=7bef643378ea261681f88eb9a6068d22	en
dc.subject	Forecasting	en
dc.subject	Technical analysis econometric models	en
dc.subject	Theta decomposition	en
dc.subject	Tourism demand	en
dc.subject.other	econometrics	en
dc.subject.other	forecasting method	en
dc.subject.other	international tourism	en
dc.subject.other	numerical model	en
dc.subject.other	travel demand	en
dc.title	Tourism technical analysis system	en
heal.type	journalArticle	en
heal.publicationDate	2006	en
heal.abstract	Accurate forecasts of tourism demand are prerequisites in the decision making process in many organizations in the private and public sectors. Any information concerning the future evolution of tourism flows is of great importance to hoteliers, tour operators and other industries concerned with tourism, services or transportation. In the last few decades international tourism demand has attracted substantial academic interest, resulting in a wide range of successful forecasting approaches. Much attention has been paid to econometric models that use regression techniques to estimate the underlying relationship between tourism demand and its determinants; unfortunately, empirical studies suggest that these models usually fail to outperform simple time series models. The current study focuses on an alternative approach, the Tourism Technical Analysis System (TTAS), incorporating the use of technical analysis techniques and building on the similarities between stock and tourism markets. The absolute and directional accuracy of TTAS is evaluated in relation to a range of time series and econometric methods for forecasting international tourism demand, using as a benchmark well-known published research.	en
heal.journalName	Tourism Economics	en
dc.identifier.volume	12	en
dc.identifier.issue	4	en
dc.identifier.spage	543	en
dc.identifier.epage	563	en