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Applied Economics Letters Volume 12, 2005 - Issue 6
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Original Articles

A technical analysis approach to tourism demand forecasting

C. Petropoulos Forecasting Systems Unit, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str, 15773 Zografou Athens, Greece
,
K. Nikolopoulos * Lancaster Centre for Forecasting, Department of Management Science, Lancaster University Management School, Lancaster LA1 4YX, UK
,
A. Patelis Forecasting Systems Unit, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str, 15773 Zografou Athens, Greece
&
V. Assimakopoulos Secretary for the Information Society, Ministry of Economy and Finance, 5–7 Nikis Str, 10180, Athens, Greece
Pages 327-333 | Published online: 17 Aug 2006

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Read on this site (4)

Abbas Valadkhani, Russell Smyth & Barry O’Mahony. (2017) Asymmetric causality between Australian inbound and outbound tourism flows. Applied Economics 49:1, pages 33-50.
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Namhyun Kim & Zvi Schwartz. (2013) The Accuracy of Tourism Forecasting and Data Characteristics: A Meta-Analytical Approach. Journal of Hospitality Marketing & Management 22:4, pages 349-374.
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Konstantinos Nikolopoulos. (2010) Forecasting with quantitative methods: the impact of special events in time series. Applied Economics 42:8, pages 947-955.
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Vicky Bamiatzi, Konstantinos Bozos & Konstantinos Nikolopoulos. (2010) On the predictability of firm performance via simple time-series and econometric models: evidence from UK SMEs. Applied Economics Letters 17:3, pages 279-282.
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Articles from other publishers (13)

Eleonora Di Matteo, Paolo Roma, Santo Zafonte, Umberto Panniello & Lorenzo Abbate. (2021) Development of a Decision Support System Framework for Cultural Heritage Management. Sustainability 13:13, pages 7070.
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Dimitrios I. Vortelinos, Konstantinos Gkillas, Christos Floros & Lavrentios Vasiliadis. 2020. Operational Research in Agriculture and Tourism. Operational Research in Agriculture and Tourism 107 129 .
Min-Yuh Day, Yensen Ni & Paoyu Huang. (2019) Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns. Physica A: Statistical Mechanics and its Applications 525, pages 349-372.
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Maja Mamula, Raffaella Folgieri & Kristina Duvnjak. SOME CONSIDERATIONS ABOUT ARTIFICIAL NEURAL NETWORKS IN HOTEL INDUSTRY: STATE OF THE ART AND FUTURE DEVELOPMENTS. SOME CONSIDERATIONS ABOUT ARTIFICIAL NEURAL NETWORKS IN HOTEL INDUSTRY: STATE OF THE ART AND FUTURE DEVELOPMENTS.
Marcos Álvarez-Díaz, Manuel González-Gómez & María Otero-Giráldez. (2018) Forecasting International Tourism Demand Using a Non-Linear Autoregressive Neural Network and Genetic Programming. Forecasting 1:1, pages 90-106.
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Sofia T. Melendez & Brijesh Thapa. (2017) Tourism Demand Modeling and Forecasting for El Salvador. Tourism Analysis 22:2, pages 261-266.
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Saeedeh Anvari, Selcuk Tuna, Metin Canci & Metin Turkay. (2016) Automated Box-Jenkins forecasting tool with an application for passenger demand in urban rail systems. Journal of Advanced Transportation 50:1, pages 25-49.
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Robert R. Andrawis, Amir F. Atiya & Hisham El-Shishiny. (2011) Combination of long term and short term forecasts, with application to tourism demand forecasting. International Journal of Forecasting 27:3, pages 870-886.
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Fong-Lin Chu. (2009) Forecasting tourism demand with ARMA-based methods. Tourism Management 30:5, pages 740-751.
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Fong-Lin Chu. (2008) Analyzing and forecasting tourism demand with ARAR algorithm. Tourism Management 29:6, pages 1185-1196.
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Haiyan Song & Gang Li. (2008) Tourism demand modelling and forecasting—A review of recent research. Tourism Management 29:2, pages 203-220.
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C. Petropoulos, K. Nikolopoulos, A. Patelis, V. Assimakopoulos & D. Askounis. (2016) Tourism Technical Analysis System. Tourism Economics 12:4, pages 543-563.
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Dimitrios I. Vortelinos. (2016) Forecasting Tourism Demand in Europe. SSRN Electronic Journal.
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