Silva, Emmanuel Sirimal, Ghodsi, Zara, Ghosdi, Mansi, Heravi, Saeed ORCID: https://orcid.org/0000-0002-0198-764X and Hassani, Hossein 2017. Cross country relations in European tourist arrivals. Annals of Tourism Research 63 , pp. 151-168. 10.1016/j.annals.2017.01.012 |
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Abstract
This paper introduces an optimized Multivariate Singular Spectrum Analysis (MSSA) algorithm for identifying leading indicators. Exploiting European tourist arrivals data, we analyse cross country relations for European tourism demand. Cross country relations have the potential to aid in planning and resource allocations for future tourism demand by taking into consideration the variation in tourist arrivals across other countries in Europe. Our findings indicate with statistically significant evidence that there exists cross country relations between European tourist arrivals which can help in improving the predictive accuracy of tourism demand. We also find that MSSA has the capability of not only identifying leading indicators, but also forecasting tourism demand with far better accuracy in comparison to its univariate counterpart, Singular Spectrum Analysis.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Business (Including Economics) |
Subjects: | H Social Sciences > H Social Sciences (General) |
Uncontrolled Keywords: | Multivariate Singular Spectrum Analysis; leading indicators;tourist arrivals; demand; Europe. |
Publisher: | Elsevier |
ISSN: | 0160-7383 |
Date of First Compliant Deposit: | 31 January 2017 |
Date of Acceptance: | 24 January 2017 |
Last Modified: | 17 Nov 2023 10:56 |
URI: | https://orca.cardiff.ac.uk/id/eprint/97888 |
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