Financial crisis early warning of Chinese listed companies based on MD&A text-linguistic feature indicators. by Zhishuo Zhang, Xinran Liu, Huayong Niu

“…Finally, by comparing the early warning effects of thirteen machine learning models, it is found that RF, Bagging, CatBoost, GBDT, XGBoost and LightGBM models maintain stable and accurate sample recognition ability. …”
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A Study on Early Warnings of Financial Crisis of Chinese Listed Companies Based on DEA–SVM Model by Zhishuo Zhang, Yao Xiao, Zitian Fu, Kaiyang Zhong, Huayong Niu

“…Moreover, six mainstream machine learning methods, including Logistic Regression, GBDT, CatBoost, AdaBoost, Random Forest and Bagging, were used to compare with the early warning effect of the DEA–SVM model, and the empirical results show that DEA–SVM has high early warning accuracy, which proves the superiority of the proposed model. …”
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