A Combined Assessment Method on the Credit Risk of Enterprise Group Based on the Logistic Model and Neural Networks

摘要

As the credit risk of enterprise group is closely related to its financial state, in this paper, we chose the financial indicators and characteristic index of the enterprise groups used in literature [1] and applied the combined method based on the Logistic model and Neural Networks to assess the credit risk of Chinese listed enterprise group. Then we chose correlative Chinese listed enterprise group over the 2004-2008 period as study sample and conducted empirical research by using the combined method. Finally, we made a comparison among the evaluation results of three methods.