ARIMA + GARCH + Bootstrap forecasting method applied to the airline industry

- 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.