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- W2009308032 abstract "Volatility is an important characteristic of most tourist economies. Fluctuations in tourist arrivals can occur due to unanticipated events, such as natural disasters, crime, the threat of terrorism, and business cycles in key source markets. This study exploits recent time series modeling techniques to model and forecast the volatility in monthly international tourist arrivals to Barbados. The results show models that allow mean volatility to change over time tend to have the best forecasting performance. However, relatively simple models, such as the RiskMetrics approach, can also produce predictions that are statistically at least as good as more complex models." @default.
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- W2009308032 date "2008-01-01" @default.
- W2009308032 modified "2023-09-30" @default.
- W2009308032 title "Modeling and Forecasting the Volatility of Long-stay Tourist Arrivals" @default.
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- W2009308032 doi "https://doi.org/10.3727/108354208784548742" @default.
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