Article ID Journal Published Year Pages File Type
7435018 Journal of Air Transport Management 2018 8 Pages PDF
Abstract

- The ARIMA + GARCH + Bootstrap method is proposed to forecast pax in the air transport industry.
- Pax is analyzed and represented by conditional mean, variance, and the distribution of the error.
- The performance of the proposed method is compared to 4 of the most used forecasting methods in the air transport industry.
- The performance of the ARIMA + GARCH + Bootstrap method is validated by using two tests of superior ability.
Related Topics
Social Sciences and Humanities Business, Management and Accounting Strategy and Management
Preview
ARIMA + GARCH + Bootstrap forecasting method applied to the airline industry
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