Identifying Symptoms of Bankruptcy Risk Based on Bankruptcy Prediction Models—A Case Study of Poland
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References listed on IDEAS
- Błażej Prusak, 2018. "Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries," IJFS, MDPI, vol. 6(3), pages 1-28, June.
- Jarmila Horváthová & Martina Mokrišová, 2018. "Risk of Bankruptcy, Its Determinants and Models," Risks, MDPI, vol. 6(4), pages 1-22, October.
- Rose-Ackerman, Susan, 1991. "Risk Taking and Ruin: Bankruptcy and Investment Choice," The Journal of Legal Studies, University of Chicago Press, vol. 20(2), pages 277-310, June.
- Jonas Mackevičius & Ruta Šneidere & Daiva Tamulevičienė, 2018. "The waves of enterprises bankruptcy and the factors that determine them: the case of Latvia and Lithuania," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(1), pages 100-114, September.
- Jonas Mackevičius & Ruta Šneidere & Daiva Tamulevičienė, 2018. "The waves of enterprises bankruptcy and the factors that determine them: the case of Latvia and Lithuania," Post-Print hal-02121037, HAL.
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- Katarina Valaskova & Dominika Gajdosikova & Jaroslav Belas, 2023. "Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 253-293, March.
- Beata Gavurova & Sylvia Jencova & Radovan Bacik & Marta Miskufova & Stanislav Letkovsky, 2022. "Artificial intelligence in predicting the bankruptcy of non-financial corporations," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1215-1251, December.
- Deng, Shangkun & Luo, Qunfang & Zhu, Yingke & Ning, Hong & Shimada, Tatsuro, 2024. "Financial risk forewarning with an interpretable ensemble learning approach: An empirical analysis based on Chinese listed companies," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
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Keywords
bankruptcy risk; early warning models; company bankruptcy; discriminant analysis; logit analysis;All these keywords.
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