This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Ana Bartolome (Faculty of Economics and Business, University of the Balearic Islands)
Michael McAleer (Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam and Tinbergen Institute and Center for International Research on the Japanese Economy (CIRJE), Faculty of Economics, University of Tokyo)
Vicente Ramos (Faculty of Economics and Business, University of the Balearic Islands)
Javier Rey-Maquieira (Faculty of Economics and Business, University of the Balearic Islands)

Additional information is available for the following registered author(s):

Abstract

Spain is a leader in terms of total international tourist arrivals and receipts. The Balearic Islands are one of the most popular destinations in Spain. For tourism management and marketing, it is essential to forecast tourist arrivals accurately. As it is important to provide sensible tourist forecast intervals, it is also necessary to model their variances accurately. Time-varying variances also provide useful information regarding the risk associated with tourist arrivals. This paper examines spatial aggregation across micro entities to more aggregated macro entities, in addition to temporal aggregation, for purposes of analyzing risk in tourism marketing and management. The paper examines four different types of asymmetric behaviour related to the effects of positive and negative shocks of equal magnitude on volatility. The paper analyzes daily air passenger arrivals from the Spanish National Airport Authority from 2001-06 to the Balearics, using time series models for the conditional mean and conditional volatility.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.e.u-tokyo.ac.jp/cirje/research/dp/2009/2009cf665.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-665.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 52pages
Date of creation: Sep 2009
Date of revision:
Handle: RePEc:tky:fseres:2009cf665

Contact details of provider:
Web page: http://www.e.u-tokyo.ac.jp/cirje/index.htm

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords:

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? You may want to explore EconPapers, which displays the same data as IDEAS in a different way.

This page was last updated on 2009-12-3.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.