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Early warning models against bankruptcy risk for Central European and Latin American enterprises

Citations

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Cited by:

  1. Ednawati Rainarli & Aurelius Aaron, 2015. "The Implementation of Fuzzy Logic to Predict the Bankruptcy of Company in Indonesia," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 1(4), pages 147-154.
  2. Christoph Braunsberger & Ewald Aschauer, 2025. "Corporate Failure Prediction: A Literature Review of Altman Z-Score and Machine Learning Models Within a Technology Adoption Framework," JRFM, MDPI, vol. 18(8), pages 1-32, August.
  3. Denis Kuster & Bojana Vukovic, 2026. "Enhancing Resilience of Small and Medium-Sized Enterprises in an Emerging Economy: Neural Network-Based Bankruptcy Prediction," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 28(72), pages 712-712, April.
  4. María Jesús Segovia‐Vargas & María del Mar Camacho‐Miñano & Vera Gelashvili, 2024. "Social sustainability: Viability analysis of social firms," Global Policy, London School of Economics and Political Science, vol. 15(S7), pages 83-98, November.
  5. Fatima Zahra Azayite & Said Achchab, 2019. "A hybrid neural network model based on improved PSO and SA for bankruptcy prediction," Papers 1907.12179, arXiv.org.
  6. Dominika Gajdosikova & Jakub Michulek, 2025. "Artificial Intelligence Models for Bankruptcy Prediction in Agriculture: Comparing the Performance of Artificial Neural Networks and Decision Trees," Agriculture, MDPI, vol. 15(10), pages 1-29, May.
  7. Muñoz-Izquierdo, Nora & Segovia-Vargas, María Jesús & Camacho-Miñano, María-del-Mar & Pascual-Ezama, David, 2019. "Explaining the causes of business failure using audit report disclosures," Journal of Business Research, Elsevier, vol. 98(C), pages 403-414.
  8. Tamara Ayœs, Armando Lenin & Villegas, Gladis Cecilia & Leones Castro, María Cristina & Salazar Bocanegra, Juan Antonio, 2018. "Modelaci—n del riesgo de insolvencia en empresas del sector salud empleando modelos logit || Modeling of Insolvency Risk in Health Sector Companies Using Logit Models," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 128-145, Diciembre.
  9. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
  10. Tomasz Korol, 2020. "Assessment of Trajectories of Non-bankrupt and Bankrupt Enterprises," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1113-1135.
  11. Chien-Min Kang & Ming-Chieh Wang & Lin Lin, 2022. "Financial Distress Prediction of Cooperative Financial Institutions—Evidence for Taiwan Credit Unions," IJFS, MDPI, vol. 10(2), pages 1-25, April.
  12. Amani, Farzaneh A. & Fadlalla, Adam M., 2017. "Data mining applications in accounting: A review of the literature and organizing framework," International Journal of Accounting Information Systems, Elsevier, vol. 24(C), pages 32-58.
  13. Mirza, Nawazish & Rahat, Birjees & Naqvi, Bushra & Rizvi, Syed Kumail Abbas, 2023. "Impact of Covid-19 on corporate solvency and possible policy responses in the EU," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 181-190.
  14. Li, Hui & Hong, Lu-Yao & He, Jia-Xun & Xu, Xuan-Guo & Sun, Jie, 2013. "Small sample-oriented case-based kernel predictive modeling and its economic forecasting applications under n-splits-k-times hold-out assessment," Economic Modelling, Elsevier, vol. 33(C), pages 747-761.
  15. Yali Cao & Yue Shao & Hongxia Zhang, 2022. "Study on early warning of E-commerce enterprise financial risk based on deep learning algorithm," Electronic Commerce Research, Springer, vol. 22(1), pages 21-36, March.
  16. Zhao, Shuping & Xu, Kai & Wang, Zhao & Liang, Changyong & Lu, Wenxing & Chen, Bo, 2022. "Financial distress prediction by combining sentiment tone features," Economic Modelling, Elsevier, vol. 106(C).
  17. Chao Liu & Fengfeng Gao & Mengwan Zhang & Yuanrui Li & Cun Qian, 2024. "Reference Vector-Based Multiobjective Clustering Ensemble Approach for Time Series Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 181-210, July.
  18. Duan, Yunlong & Mu, Chang & Yang, Meng & Deng, Zhiqing & Chin, Tachia & Zhou, Li & Fang, Qifeng, 2021. "Study on early warnings of strategic risk during the process of firms’ sustainable innovation based on an optimized genetic BP neural networks model: Evidence from Chinese manufacturing firms," International Journal of Production Economics, Elsevier, vol. 242(C).
  19. Safaa Mrani & Loulid Adil, 2023. "Corporate failure : A literature review [La défaillance des entreprises : Une revue de littérature]," Post-Print hal-04219260, HAL.
  20. Petra Marešová & Lukáš Peter & Jan Honegr & Lukáš Režný & Marek Penhaker & Martin Augustýnek & Hana Mohelská & Blanka Klímová & Kamil Kuča, 2020. "Complexity Stage Model of the Medical Device Development Based on Economic Evaluation—MedDee," Sustainability, MDPI, vol. 12(5), pages 1-27, February.
  21. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2019. "Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress?," JRFM, MDPI, vol. 12(2), pages 1-17, April.
  22. David Alaminos & Agustín del Castillo & Manuel Ángel Fernández, 2016. "A Global Model for Bankruptcy Prediction," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-18, November.
  23. Beltman, Jaap & Machado, Marcos R. & Osterrieder, Joerg R., 2025. "Predicting retail customers' distress in the finance industry: An early warning system approach," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
  24. Spyridou, Anastasia, 2019. "Evaluating Factors of Small and Medium Hospitality Enterprises Business Failure: a conceptual approach," MPRA Paper 93997, University Library of Munich, Germany.
  25. Dominika Gajdosikova & Jakub Michulek & Irina Tulyakova, 2025. "AI-Based Bankruptcy Prediction for Agricultural Firms in Central and Eastern Europe," IJFS, MDPI, vol. 13(3), pages 1-35, July.
  26. Santosh Kumar Shrivastav & P. Janaki Ramudu, 2020. "Bankruptcy Prediction and Stress Quantification Using Support Vector Machine: Evidence from Indian Banks," Risks, MDPI, vol. 8(2), pages 1-22, May.
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