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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. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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).
  23. 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..
  24. 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.
  25. 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.
  26. 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).
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