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Corporate failure prediction in the European energy sector: A multicriteria approach and the effect of country characteristics

Citations

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Cited by:

  1. Cong Cheng & Jian Dai, 2025. "Predicting Cross-border Merger and Acquisition Completion through CEO Characteristics: A Machine Learning Approach," Management International Review, Springer, vol. 65(1), pages 43-84, February.
  2. Katsafados, Apostolos G. & Leledakis, George N. & Panagiotou, Nikolaos P. & Pyrgiotakis, Emmanouil G., 2024. "Can central bankers’ talk predict bank stock returns? A machine learning approach," MPRA Paper 122899, University Library of Munich, Germany.
  3. Dimitris Anastasiou & Apostolos Katsafados & Christos Tzomakas, 2026. "Banks’ stock price crash risk prediction with textual analysis: a machine learning approach," Annals of Operations Research, Springer, vol. 357(1), pages 89-111, February.
  4. Yang, Bing & Van Aelst, Stefan & Verdonck, Tim, 2026. "Diverse ensemble cost-sensitive logistic regression," European Journal of Operational Research, Elsevier, vol. 328(1), pages 282-294.
  5. Silvia Angilella & Maria Rosaria Pappalardo, 2022. "Performance assessment of energy companies employing Hierarchy Stochastic Multi-Attribute Acceptability Analysis," Operational Research, Springer, vol. 22(1), pages 299-370, March.
  6. Wei Xu & Yuchen Pan & Wenting Chen & Hongyong Fu, 2019. "Forecasting Corporate Failure in the Chinese Energy Sector: A Novel Integrated Model of Deep Learning and Support Vector Machine," Energies, MDPI, vol. 12(12), pages 1-20, June.
  7. Sebastian Klaudiusz Tomczak & Anna Skowrońska-Szmer & Jan Jakub Szczygielski, 2020. "Is Investing in Companies Manufacturing Solar Components a Lucrative Business? A Decision Tree Based Analysis," Energies, MDPI, vol. 13(2), pages 1-27, January.
  8. Koen W. de Bock, 2017. "The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles," Post-Print hal-01588059, HAL.
  9. Zoltán Csedő & József Magyari & Máté Zavarkó, 2022. "Dynamic Corporate Governance, Innovation, and Sustainability: Post-COVID Period," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
  10. Salwa Kessioui & Michalis Doumpos & Constantin Zopounidis, 2023. "A Bibliometric Overview of the State-of-the-Art in Bankruptcy Prediction Methods and Applications," World Scientific Book Chapters, in: Emilios Galariotis & Alexandros Garefalakis & Christos Lemonakis & Marios Menexiadis & Constantin Zo (ed.), Governance and Financial Performance Current Trends and Perspectives, chapter 6, pages 123-153, World Scientific Publishing Co. Pte. Ltd..
  11. Philipp Borchert & Kristof Coussement & Arno de Caigny & Jochen de Weerdt, 2023. "Extending business failure prediction models with textual website content using deep learning," Post-Print hal-03976762, HAL.
  12. Flori, Andrea & Scotti, Francesco, 2025. "When the intensity of trading meets compliance requirements: An assessment for firms operating within the EU ETS," Energy Economics, Elsevier, vol. 147(C).
  13. Sebastian Klaudiusz Tomczak, 2019. "Comparison of the Financial Standing of Companies Generating Electricity from Renewable Sources and Fossil Fuels: A New Hybrid Approach," Energies, MDPI, vol. 12(20), pages 1-20, October.
  14. Diana Barro & Marco Corazza & Gianni Filograsso, 2025. "Environmental, social, and governance evaluation for European small and medium enterprises: A multicriteria approach," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 32(1), pages 1291-1308, January.
  15. De Bock, Koen W. & Coussement, Kristof & Lessmann, Stefan, 2020. "Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach," European Journal of Operational Research, Elsevier, vol. 285(2), pages 612-630.
  16. Katsafados, Apostolos G. & Androutsopoulos, Ion & Chalkidis, Ilias & Fergadiotis, Manos & Leledakis, George N. & Pyrgiotakis, Emmanouil G., 2020. "Textual Information and IPO Underpricing: A Machine Learning Approach," MPRA Paper 103813, University Library of Munich, Germany.
  17. Apostolos G. Katsafados & Dimitris Anastasiou, 2024. "Short-term prediction of bank deposit flows: do textual features matter?," Annals of Operations Research, Springer, vol. 338(2), pages 947-972, July.
  18. Koen W. de Bock & Kristof Coussement & Stefan Lessmann, 2020. "Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach," Post-Print hal-02863245, HAL.
  19. Borchert, Philipp & Coussement, Kristof & De Caigny, Arno & De Weerdt, Jochen, 2023. "Extending business failure prediction models with textual website content using deep learning," European Journal of Operational Research, Elsevier, vol. 306(1), pages 348-357.
  20. du Jardin, Philippe, 2021. "Forecasting corporate failure using ensemble of self-organizing neural networks," European Journal of Operational Research, Elsevier, vol. 288(3), pages 869-885.
  21. Henri Arno & Klaas Mulier & Joke Baeck & Thomas Demeester, 2025. "Business Failure Prediction From Textual and Tabular Data With Sentence-Level Interpretations," Annals of Operations Research, Springer, vol. 353(2), pages 667-692, October.
  22. Makridou, Georgia & Doumpos, Michalis & Galariotis, Emilios, 2019. "The financial performance of firms participating in the EU emissions trading scheme," Energy Policy, Elsevier, vol. 129(C), pages 250-259.
  23. Eric Séverin & David Veganzones, 2021. "Can earnings management information improve bankruptcy prediction models?," Annals of Operations Research, Springer, vol. 306(1), pages 247-272, November.
  24. Katsafados, Apostolos G. & Leledakis, George N. & Pyrgiotakis, Emmanouil G. & Androutsopoulos, Ion & Fergadiotis, Manos, 2024. "Machine learning in bank merger prediction: A text-based approach," European Journal of Operational Research, Elsevier, vol. 312(2), pages 783-797.
  25. Eskantar, Marianna & Zopounidis, Constantin & Doumpos, Michalis & Galariotis, Emilios & Guesmi, Khaled, 2024. "Navigating ESG complexity: An in-depth analysis of sustainability criteria, frameworks, and impact assessment," International Review of Financial Analysis, Elsevier, vol. 95(PA).
  26. Georgios Chortareas & Apostolos G. Katsafados & Theodore Pelagidis & Chara Prassa, 2025. "Credit risk modelling within the euro area in the COVID‐19 period: Evidence from an ICAS framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1074-1105, April.
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