Abstract
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.
This research has been supported by National Natural Science Foundation of China (No. 70971015)
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Min, X., Wenrui, L., Chao, X., Zongfang, Z. (2012). A Combined Assessment Method on the Credit Risk of Enterprise Group Based on the Logistic Model and Neural Networks. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28314-7_32
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DOI: https://doi.org/10.1007/978-3-642-28314-7_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28313-0
Online ISBN: 978-3-642-28314-7
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