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运用统计方法,选取有效建模变量,建立了L og istic预测模型对我国上市公司退市风险进行了预测,研究结果表明该模型具有良好的预测精度,该模型预测精度可达98.10%,可以作为证券投资者和分析人员使用的一种有效预测上市公司退市风险的工具.
By using statistical methods and selecting effective modeling variables, the L og istic forecasting model is established to predict the delisting risks of listed companies in our country. The results show that the model has a good forecasting accuracy. The prediction accuracy of the model is up to 98.10% A tool used by securities investors and analysts to effectively predict delisting risks of listed companies.