Special Treatment Prediction on China's listed Stocks Using Gradient Boosting

机译：使用梯度提升的中国上市股票的特殊处理预测

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摘要

We apply Gradient Boosting to examine whether stocks will be special treated, a problem that is concerned with both stock issuers and investors. Gradient Boosting is an effective yet rarely used method for financial crisis prediction. The results show that when compared with SVM, the prediction accuracy of Gradient Boosting is 90% higher one year prior to special treatment.

机译：我们申请渐变提升以检查股票是否将是特殊的处理，这是股票发行人员和投资者的问题。梯度提升是一种有效的金融危机预测方法。结果表明，与SVM相比，梯度升压的预测精度是特殊处理前一年的90％更高。

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《International conference on cooperation and promotion of information resources in science and technology》|2010年||共6页
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作者
Xiaoxu Wang; Zhengming Qian; Yun Luo;
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原文格式 PDF
正文语种
中图分类信息资源及其管理;
关键词
Special Treatment; Gradient Boosting; SVM;

机译：特殊处理;梯度提升;SVM;

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1. A gradient-boosting decision-tree approach for firm failure prediction: an empirical model evaluation of Chinese listed companies [J] . Liu Jiaming, Wu Chong The Journal of Risk Model Validation . 2017,第2期

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2. Predicting the Removal of Special Treatment or Delisting Risk Warning for Listed Company in China with Adaboost [J] . Ligang Zhou Procedia Computer Science . 2013,第1期

机译：使用Adaboost预测中国上市公司的特殊待遇或退市风险警告的移除
3. Using Shapley additive explanations to interpret extreme gradient boosting predictions of grassland degradation in Xilingol, China [J] . Batunacun, Wieland Ralf, Lakes Tobia, Geoscientific Model Development Discussions . 2021,第3期

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4. Special Treatment Prediction on China's listed Stocks Using Gradient Boosting [C] . Xiaoxu Wang, Zhengming Qian, Yun Luo Proceedings of the 5th international conference on cooperation and promotion of information resources in science and technology. . 2010

机译：基于梯度提升的中国上市股票特殊待遇预测
5. Network Elastic Net, Stochastic Accelerated Gradient Boosting and Accelerated Failure Time in XGBoost [D] . Barnwal, Avinash . 2020

机译：网络弹性网，随机加速梯度提升和XGBoost中的加速失效时间
6. Data of pre-IPO or listing firm characteristics and post-listing stock returns of Chinese listed firms [O] . Hong Li 2020

机译：上市前或上市公司特征及中国上市公司上市后股票收益数据
7. Predicting the Removal of Special Treatment or Delisting Risk Warning for Listed Company in China with Adaboost [O] . Zhou Ligang 2013

机译：使用Adaboost预测中国上市公司的特殊待遇或退市风险警告的移除

Special Treatment Prediction on China's listed Stocks Using Gradient Boosting

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