Logit Model for Pre-Warning Financial Distress of Listed Real-Estate Companies in China

This paper mainly discusses the study of models for financial distress pre-warning, trying to select general financial indexes by principal component analysis, and meanwhile adding nonfinancial indexes which reflect corporate governance state to complement. Logit Model which is more accurate in prediction is selected, with the 56 company samples including both delisting pre-warned companies and counterparts without financial distress. Old Logit Model with 9 integrative financial indexes and new model with 6 more nonfinancial indexes are respectively built and pass the tests finally. By adding nonfinancial indexes into Logit Model, this paper goes to the conclusion that the new index system was more precise than the old one.