Skip to content
  • Have a Question? E-mail : conference.icess@ase.ro

Submit your abstractSubmit your abstract
  • Have a Question? Contact us : conference.icess@ase.ro

  • About
    • Conference Timeline
    • Keynote Speakers
    • Minitracks
    • Program
    • Partners
  • Registration
    • Abstract / Paper Submission
    • Paper Template
    • Review Process
    • Fees & Payment
  • Committees
    • Organizing Committee
    • Scientific Committee
  • Publication Opportunities
    • Indexing
    • Awards
  • Archive
    • ICESS 2022
    • ICESS 2023
    • ICESS 2024
    • ICESS 2025
  • Proceedings Volumes
    • Proceedings Volume 2019
    • Proceedings Volume 2020
    • Proceedings Volume 2021
    • Proceedings Volume 2022
    • Proceedings Volume 2023
    • Proceedings Volume 2024
  • Contact

Using Machine Learning to Model Bankruptcy Risk in Listed Companies

Proceedings

Using Machine Learning to Model Bankruptcy Risk in Listed Companies

Proceedings

Cite this:
TEODORESCU, V., & TOADER, C.I. (2024). Using Machine Learning to Model Bankruptcy Risk in Listed Companies. In Proceedings of the International Conference on Economics and Social Sciences. The International Conference on Economics and Social Sciences. Editura ASE. https://doi.org/10.24818/icess/2024/055

055 Using Machine Learning to Model Bankruptcy Risk in Listed Companies 610-619

Read also:

  • IMF Tariff Conditionality, Aid for Trade and Trade: Evidence from Sub-Saharan Africa

  • Ecotourism in Romania: Exploring Potential and Promoting Responsible Tourism

  • Erasmus Experiences’ Influences on Students’ Entrepreneurship Competences

  • Increase of Production Capacities and Investments in Enterprises Depending on the Perspective of Regional Development

  • The Evolution and Impact of Digital Transformation on Internal Audit and Managerial Control in Public Institutions

  • The Influence of Corporate Social Responsibility on Organisational Commitment among Employees in Pakistan

  • Supervised Learning Algorithms for Non-Life SCR Ratio Forecasting

Previous123Next

The 9th ICESS
18-19 June 2026

Submit your abstractSubmit your abstract
Publication.

ICESS publication uses the Meteor submission and review system.

Get in touch.

conference.icess@ase.ro

+4 021 319.19.00
+4 021 319.19.01 – int 134

Bucharest University of Economic Studies

Piața Romană No.6 | Bucharest | Romania

© 2012 - 2026 • Bucharest University of Economic Studies

Page load link
Go to Top