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A Study on the Tourism Combining Demand Forecasting Models for the Tourism in Korea

관광 수요를 위한 결합 예측 모형에 대한 연구

Son, H.G.;Ha, M.H.;Kim, S.
손흥구;하명호;김삼용

  • Received : 2012.02.27
  • Accepted : 2012.03.28
  • Published : 2012.04.30

Abstract

This paper applies forecasting models such as ARIMA, Holt-Winters and AR-GARCH models to analyze daily tourism data in Korea. To evaluate the performance of the models, we need single and double seasonal models that compare the RMSE and SE for a better accuracy of the forecasting models based on Armstrong (2001).

Keywords

ARIMA model;Holt-Winters model;AR-GARCH model;combining forecasting

References

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Cited by

  1. Performance Evaluation of Time Series Models using Short-Term Air Passenger Data vol.25, pp.6, 2012, https://doi.org/10.5351/KJAS.2012.25.6.917

Acknowledgement

Supported by : 한국연구재단