Comparison of Model Performance in Forewarning Financial Crisis of Publicly Traded Companies: Different Algorithmic Models
Jingzheng Guo,
Yan Ding
Abstract:The financial crisis can have adverse effects on a company's development and even on the entire industry. Early warning and prevention of such crises through specific methods holds significant importance. This paper focuses on the prewarning of financial crises in publicly traded companies. Samples were selected from the CSMAR database to analyze data from the T-2 year and T-3 year. Thirty indicators were screened from perspectives such as levels of debt repayment. The performance of six different algorithmic … Show more
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