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• [P823] Research on Financial Warning for Chinese Listed Companies by Using Panel Data Model
  Author(s): Chen Yaohui, Shao Xijuan, Haibo Wang
  
  

  Abstract
  This paper studies how to establish models for predicting financial distress in China's listed companies. We firstly select 26 companies with financial distress and 54 matching companies' panel data as samples, then use panel data model to conduct an empirical study. The research indicates that: (1) The predictability precision is 91.25%¡¢92.5%¡¢91.25% and 87.5% for T-1¡¢T-2¡¢T-3 and T-4, respectively, superior to the previous research. (2) The panel data model warning analysis is of stable predictability, which is suitable in constructing mid-term and long-term prediction models.

  
   

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