Articles producció científicaGestió d'Empreses

Bankruptcy prediction for the European aviation industry: An application of the Altman model

  • Identification data

    Identifier:  imarina:9331011
    Authors:  Shi, Yin; Li, Xiaoni
    Abstract:
    Aviation industry is extremely vulnerable to economic turbulence or a pandemic. Over the past decade, a number of well-known European airline brands have gone into bankruptcy, with consequences such as leaving thousands of passengers stranded abroad. The present research assesses the predictive power of the updated Altman Z-score model (1983 and 2017) using data on European airline bankruptcies over the period 2009–2020. The results indicate that the Z″-score (2017) for private non-manufacturing companies shows satisfactory predictive power when applied on European aviation industry. In this study, we analyze in depth the performance of the updated Altman Z′- and Z″-scores (1983, 2017), connecting airline's financial and non-financial information, and provide a comprehensive interpretation of Z-score predictive power. We aim to contribute to the literature by offering a unique and novel perspective on the Altman model's accuracy for the European air transport industry.
  • Others:

    APA: Shi, Yin; Li, Xiaoni (2024). Bankruptcy prediction for the European aviation industry: An application of the Altman model. Managerial And Decision Economics, 45(1), 477-491. DOI: 10.1002/mde.4018
    Paper original source: Managerial And Decision Economics. 45 (1): 477-491
    Article's DOI: 10.1002/mde.4018
    Journal publication year: 2024
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2025-01-28
    URV's Author/s: Li, Xiaoni / Shi, Yin
    Department: Gestió d'Empreses
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: Shi, Yin; Li, Xiaoni
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Strategy and management, Psicología, Management science and operations research, Management of technology and innovation, Management, Economics, Ciencias sociales, Business and international management, Administração, ciências contábeis e turismo
    Author's mail: yin.shi@urv.cat, yin.shi@urv.cat, yin.shi@estudiants.urv.cat, xiaoni.li@urv.cat
  • Keywords:

    Business and International Management
    Economics
    Management
    Management of Technology and Innovation
    Management Science and Operations Research
    Strategy and Management
    Psicología
    Ciencias sociales
    Administração
    ciências contábeis e turismo
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