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- W2394091966 abstract "Considering the characteristics of high correlation and high dimension of the credit data of listed companies in China,previous literatures often utilize PCA logistic model to realize variables independency and decreasing dimension.However,this approach only takes into account the information from independent variables when extracting PCA.This paper,for the first time,draws PLS method into the traditional logistic model to empirically predict the Chinese corporate distress.Our findings show that the PLS logistic model has better fitness,high distress prediction ability,and bootstrap test further shows the new approach has greater robustness." @default.
- W2394091966 created "2016-06-24" @default.
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- W2394091966 date "2010-01-01" @default.
- W2394091966 modified "2023-09-25" @default.
- W2394091966 title "Financial Distress Prediction: Application of the PLS Logistic Regression" @default.
- W2394091966 hasPublicationYear "2010" @default.
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