The effect of imposing different numbers of unit roots on forecasting accuracy is examined using univariate ARMA models. To see whether additional information improves forecasting accuracy and increases the informative forecast horizon, we cross-relate the time series for inbound tourism in...

Sri Lankan tourism market consists all regions of the world. The Asian region is the highest tourist producer to Sri Lankan market. Short term forecasting plays a vital role in the process of operational level decision making in the tourism industry. It is a known fact that the expectations of...

The purpose of this study is to select the most accurate time series model for forecasting international tourist arrivals to Sri Lanka and generate short-term forecasts that add some benefits for policy makers and decision makers in both the public and private tourism sectors in Sri Lanka....

This paper improves short-term forecasting models of monthly tourism arrivals by estimating and evaluating a time-series model with exogenous regressors (ARIMA-X) using a case of Aruba, a small open tourism-dependent economy. Given importance of the US market for Aruba, it investigates...

In this study, we treat the seasonal variation in monthly time series in the context of the Western-European tourism demand for Tunisia, by presenting different techniques of detection of seasonality and the parametric and non-parametric approaches of seasonal adjustment. Then, we compare the...

The widespread availability of internet search data is a new source of high-frequency information that can potentially improve the precision of macroeconomic forecasting, especially in areas with data constraints. This paper investigates whether travel-related online search queries enhance...

The Amazon rainforest is one of the world's greatest natural wonders and holds great importance and significance for the world's environmental balance. Around 60% of the Amazon rainforest is located in the Brazilian territory. The two biggest states of the Amazon region are Amazonas (the upper...

Tourism is increasingly becoming an extremely important sector with its rapidly increasing contribution to GDP of any state or country as a whole. Analyzing and predicting tourist inflow not only enables us to make an accurate estimate of the number of tourists that is likely to visit a...

Forecasting consumer prices for package holidays, which represent a major driver of the inflation rate in Germany, poses some practical challenges. With a substantial share in the underlying consumer basket, prices for package holidays exhibit strong seasonality, notable volatility, and...

Landschaften stellen ein wesentliches Grundkapital des Tourismus dar, die Auswirkungen einzelner Landnutzungsformen auf den ländlichen Tourismus sind aber noch weitgehend unklar. Die vorliegende Studie untersucht den Einfluss verschiedener Landnutzungsformen auf den ländlichen Tourismus unter...