Influential factors on Chinese airlines’ profitability and forecasting methods
|
Accepted Version
(PDF 1MB)
73001253. Available under License Creative Commons Attribution Non-commercial No Derivatives 2.5. |
Description
We establish profit models to predict the performance of airlines in the short term using the quarterly profit data collected on the three largest airlines in China together with additional recent historical data on external influencing factors. In particular, we propose the application of the LASSO estimation method to this problem and we compare its performance with a suite of other more modern state-of-the-art approaches including ridge regression, support vector regression, tree regression and neural networks. It is shown that LASSO generally outperforms the other approaches in this study. We concluded a number of findings on the oil price and other influential factors on Chinese airline profitability.
Impact and interest:
Citation counts are sourced monthly from Scopus and Web of Science® citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
| ID Code: | 206702 | ||||
|---|---|---|---|---|---|
| Item Type: | Contribution to Journal (Journal Article) | ||||
| Refereed: | Yes | ||||
| ORCID iD: |
|
||||
| Additional Information: | This project was funded by Zhejiang Province Philosophy and Social Science Planning Project (21NDJC186YB), Zhejiang Province Soft Sci-ence Research Project (2020C35014), Wenzhou Soft Science Research Project (R2020002), Zhejiang Provincial Natural Science Foundation of China (Grant No Y19A010054), the Australian Research Council project DP160104292, and the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), under grant number CE140100049. | ||||
| Measurements or Duration: | 8 pages | ||||
| Additional URLs: | |||||
| DOI: | 10.1016/j.jairtraman.2020.101969 | ||||
| ISSN: | 0969-6997 | ||||
| Pure ID: | 73001253 | ||||
| Divisions: | Current > Research Centres > Centre for Data Science Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Mathematical Sciences |
||||
| Funding Information: | This project was funded by Zhejiang Province Philosophy and Social Science Planning Project ( 21NDJC186YB ), Zhejiang Province Soft Science Research Project ( 2020C35014 ), Wenzhou Soft Science Research Project ( R2020002 ), Zhejiang Provincial Natural Science Foundation of China (Grant No Y19A010054 ), the Australian Research Council project DP160104292 , and the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers ( ACEMS ), under grant number CE140100049 . This project was funded by Zhejiang Province Philosophy and Social Science Planning Project (21NDJC186YB), Zhejiang Province Soft Science Research Project (2020C35014), Wenzhou Soft Science Research Project (R2020002), Zhejiang Provincial Natural Science Foundation of China (Grant No Y19A010054), the Australian Research Council project DP160104292, and the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), under grant number CE140100049. | ||||
| Copyright Owner: | 2020 Elsevier | ||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
| Deposited On: | 01 Dec 2020 05:33 | ||||
| Last Modified: | 26 Jul 2024 10:56 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)