Time Series Modelling of Tourist Arrivals to Malaysia

by Mahendran Shitan.

Abstract: Tourism comprises of the activities of persons traveling to and staying in places outside their usual environment for not more than one consecutive year. Tourism is one of the major foreign exchange earners in Malaysia. Therefore, forecasting tourist arrivals becomes important because it would enable tourist related industries like airlines, hotels, food and catering services, etc., to plan and prepare their activities in an optimal way. Previous studies have suggested various time series models for modelling monthly tourist arrivals to Malaysia. Since then, new observations have become available and it is important to update these models. Therefore, in this paper we update and compare the performance of three time series models for modelling tourist arrivals to Malaysia. One of them is within the class of ARMA models and the other two are in the class of ARFIMA models.

Key Words: Time Series, Forecasting, ARMA, ARFIMA, Tourist Arrivals

Author:
Mahendran Shitan, mahen698@streamyx.com

Editor: Umesh B. Dubey, bhayyalal@gmail.com

READING THE ARTICLE: You can read the article in portable document (.pdf) format (142848 bytes.)

NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.

This page has been accessed 2135 times since OCTOBER 15, 2008.


Return to the InterStat Home Page.