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Combining corporate governance indicators with stacking ensembles for financial distress prediction

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  1. Yue Qiu & Jiabei He & Zhensong Chen & Yinhong Yao & Yi Qu, 2024. "A novel semisupervised learning method with textual information for financial distress prediction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2478-2494, November.
  2. Haenlein, Michael & Kaplan, Andreas, 2021. "Artificial intelligence and robotics: Shaking up the business world and society at large," Journal of Business Research, Elsevier, vol. 124(C), pages 405-407.
  3. Ruize Gao & Shaoze Cui & Yu Wang & Wei Xu, 2025. "Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
  4. García, C. José & Herrero, Begoña, 2021. "Female directors, capital structure, and financial distress," Journal of Business Research, Elsevier, vol. 136(C), pages 592-601.
  5. Feng, Yi & Yin, Yunqiang & Wang, Dujuan & Dhamotharan, Lalitha, 2022. "A dynamic ensemble selection method for bank telemarketing sales prediction," Journal of Business Research, Elsevier, vol. 139(C), pages 368-382.
  6. Mengjun Feng & Dequan Yao & Shenggang Yang & Pengyi Dai, 2025. "Stock market liberalisation and debt maturity structure: Evidence from the Shanghai‐Hong Kong Stock Connect," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(1), pages 143-167, March.
  7. Mst. Maksuda Begum & Niluthpaul Sarker & Shamsun Nahar, 2023. "The Impact of Corporate Governance Attributes on Financial Distress among the Listed Firms in Pharmaceuticals Industry of Bangladesh," International Journal of Economics and Financial Issues, Econjournals, vol. 13(6), pages 155-167, November.
  8. Noha Adel Mohamed Abdelkader & Hayam Hassan Wahba, 2024. "A proposed multidimensional model for predicting financial distress: an empirical study on Egyptian listed firms," Future Business Journal, Springer, vol. 10(1), pages 1-16, December.
  9. Asyrofa Rahmi & Hung-Yuan Lu & Deron Liang & Dinda Novitasari & Chih-Fong Tsai, 2023. "Role of Comprehensive Income in Predicting Bankruptcy," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 689-720, August.
  10. 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).
  11. Chih‐Fong Tsai & Wei‐Chao Lin & Yi‐Hsien Chen, 2025. "Data Quality Improvement for Financial Distress Prediction: Feature Selection, Data Re‐Sampling, and Their Combinations in Different Orders," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(7), pages 2205-2229, November.
  12. Ya-Han Hu & Chih-Fong Tsai & Pei-Ting Wang, 2025. "Combining multiple data resampling methods and classifier ensembles for better financial distress prediction: homogeneous and heterogeneous approaches," Annals of Operations Research, Springer, vol. 353(2), pages 793-814, October.
  13. Jiang, Cuiqing & Zhou, Yiru & Chen, Bo, 2023. "Mining semantic features in patent text for financial distress prediction," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
  14. Lifang Zhang & Mohammad Zoynul Abedin & Zhenkun Liu, 2024. "Incorporating media news to predict financial distress: Case study on Chinese listed companies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1374-1398, August.
  15. Aitzaz Ahsan Alias Sarang & Asad Ali Rind & Riadh Manita & Asif Saeed, 2025. "Does a co‐opted director affect a firm's financial distress risk?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1275-1301, April.
  16. Feng, Yi & Yin, Yunqiang & Wang, Dujuan & Ignatius, Joshua & Cheng, T.C.E. & Marra, Marianna & Guo, Yihan, 2024. "Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach," Journal of Business Research, Elsevier, vol. 184(C).
  17. Zhao, Xian & Huang, Chuangxia & Yang, Xiaoguang & Cao, Jie & Yang, Xin, 2025. "Can we better predict financial crisis? The role of Laplacian-energy-like measure," International Review of Economics & Finance, Elsevier, vol. 103(C).
  18. Ruixiang Xue & Tze San Ong & Ezgi Demir, 2026. "Do CEO and chairman characteristics affect green innovation? Evidence from a comparative analysis of machine learning models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(3), pages 6171-6198, March.
  19. Dejian Yu & Bo Xiang, 2025. "Customized integrated decision model for CBEC enterprise credit evaluation: The fusion of multi-source features and machine learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-19, December.
  20. Darko B. Vukovic & Lubov Spitsina & Ekaterina Gribanova & Vladislav Spitsin & Ivan Lyzin, 2023. "Predicting the Performance of Retail Market Firms: Regression and Machine Learning Methods," Mathematics, MDPI, vol. 11(8), pages 1-23, April.
  21. Tsai, Chih-Fong & Sue, Kuen-Liang & Hu, Ya-Han & Chiu, Andy, 2021. "Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction," Journal of Business Research, Elsevier, vol. 130(C), pages 200-209.
  22. Michal Pavlicko & Marek Durica & Jaroslav Mazanec, 2021. "Ensemble Model of the Financial Distress Prediction in Visegrad Group Countries," Mathematics, MDPI, vol. 9(16), pages 1-26, August.
  23. Umair Bin Yousaf & Khalil Jebran & Irfan Ullah, 2024. "Corporate governance and financial distress: A review of the theoretical and empirical literature," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1627-1679, April.
  24. Fedorova, Elena & Ledyaeva, Svetlana & Drogovoz, Pavel & Nevredinov, Alexandr, 2022. "Economic policy uncertainty and bankruptcy filings," International Review of Financial Analysis, Elsevier, vol. 82(C).
  25. Salma Louati & Younes Boujelbene, 2020. "Inflation targeting and bank risk: The interacting effect of institutional quality," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1847889-184, January.
  26. 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).
  27. Jiaming Liu & Chengzhang Li & Peng Ouyang & Jiajia Liu & Chong Wu, 2023. "Interpreting the prediction results of the tree‐based gradient boosting models for financial distress prediction with an explainable machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1112-1137, August.
  28. Pedro Henrique Melo Albuquerque & Yaohao Peng & João Pedro Fontoura da Silva, 2022. "Making the whole greater than the sum of its parts: A literature review of ensemble methods for financial time series forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1701-1724, December.
  29. Ali Meftah Gerged & Mohamed Marie & Israa Elbendary, 2022. "Estimating the Risk of Financial Distress Using a Multi-Layered Governance Criterion: Insights from Middle Eastern and North African Banks," JRFM, MDPI, vol. 15(12), pages 1-22, December.
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