NDLI: Credit risk assessment model of small and medium-sized enterprise based on logistic regression

Content Provider	IEEE Xplore Digital Library
Author	Hui Sun Mingyuan Guo
Copyright Year	2015
Description	Author affiliation: Coll. of Manage. & Econ., Tianjin Univ., Tianjin, China (Hui Sun; Mingyuan Guo)
Abstract	Small and medium-sized enterprises play a very important role in China's economic and social development. Their development is inseparable from the financial support, and the development of credit business is also an important aspect of bank's operation. At the time of solving the problem of financing difficulties of small and medium-sized enterprises, how to manage credit risk will become an important subject to study. In this paper, we choose 50 money-borrowing enterprises' financial data in a commercial bank as samples to construct logistic risk assessment model. We make regression analysis, Hosmer-Lemeshow test and Hosmer-Lemeshow randomness test. The empirical results show that the logistic risk assessment model has good fitness of the data.
Starting Page	1714
Ending Page	1717
File Size	1640252
Page Count	4
File Format	PDF
e-ISBN	9781467380669
DOI	10.1109/IEEM.2015.7385940
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics logistic model small and medium-sized enterprises Loading credit risk Companies Predictive models Data models Risk management Commercial banks Logistics
Content Type	Text
Resource Type	Article

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