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Interpreting the prediction results of the tree-based gradient boosting models for financial distress prediction with an explainable machine learning approach
Liu, Jiaming; Li, Chengzhang; Ouyang, Peng; Liu, Jiajia; … - In: Journal of forecasting 42 (2023) 5, pp. 1112-1137
Persistent link: https://www.econbiz.de/10014338816
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Predicting financial distress of Chinese listed companies using machine learning : to what extent does textual disclosure matter?
Zhao, Qi; Xu, Weijun; Ji, Yucheng - In: International review of financial analysis 89 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014465594
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Predicting financial distress of Chinese listed companies using a novel hybrid model framework with an imbalanced-data perspective
Zhang, Tong; Zhao, Zhichong - In: The journal of risk model validation 16 (2022) 1, pp. 23-52
Persistent link: https://www.econbiz.de/10014540541
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The role of feature importance in predicting corporate financial distress in pre and post COVID periods : evidence from China
Ding, Shusheng; Cui, Tianxiang; Bellotti, Anthony Graham; … - In: International review of financial analysis 90 (2023), pp. 1-9
Persistent link: https://www.econbiz.de/10014469979
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Financial distress pre-warning indicators : a case study on Italian listed companies
De Luca, Francesco; Meschieri, Enrica - In: The journal of credit risk : published quarterly by … 13 (2017) 1, pp. 73-94
Persistent link: https://www.econbiz.de/10011670761
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Predicting the financial distress of Indonesian manufacturing companies : an application of the multinomial logit model
Suteja, Jaja; Gunardi, Ardi; Octavia, R. Avianty - In: International journal of monetary economics and finance 10 (2017) 3/4, pp. 250-256
Persistent link: https://www.econbiz.de/10011863205
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Predicting financial distress using financial and non-financial variables
Van der Colff, Francois; Vermaak, Frans - In: Journal of economic and financial sciences 8 (2015) 1, pp. 243-260
Persistent link: https://www.econbiz.de/10011415465
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Improving financial distress prediction using financial network-based information and GA-based gradient Boosting method
Liu, Jiaming; Wu, Chong; Li, Yongli - In: Computational economics 53 (2019) 2, pp. 851-872
Persistent link: https://www.econbiz.de/10012134893
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Exploring trends and advancements in financial distress prediction research : a bibliometric study
Sethi, Soumya Ranjan; Mahadik, Dushyant Ashok; … - In: International journal of economics and financial issues … 14 (2024) 1, pp. 164-179
Persistent link: https://www.econbiz.de/10014581394
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Financial distress prediction by combining sentiment tone features
Zhao, Shuping; Xu, Kai; Wang, Zhao; Liang, Changyong; … - In: Economic modelling 106 (2022), pp. 1-10
Persistent link: https://www.econbiz.de/10013347674