ARIMA + GARCH + Bootstrap forecasting method applied to the airline industry
Nieto, MarÃa Rosa and
Carmona-BenÃtez, Rafael Bernardo
Authors registered in the RePEc Author Service: Rafael Bernardo Carmona-Benítez
Journal of Air Transport Management, 2018, vol. 71, issue C, 1-8
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.
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0969699717301072
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:71:y:2018:i:c:p:1-8
DOI: 10.1016/j.jairtraman.2018.05.007
Access Statistics for this article
Journal of Air Transport Management is currently edited by Anne Graham
More articles in Journal of Air Transport Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().