Small Industrial Enterprises' Credit Rating Model and Empirical Analysis Based on Fisher Discriminant

Abstract

Abstract:

According to the influence degree of indexes on the identification precision of default state, this study conducts the first screening to ensure that the selected indexes have a significant effect to the identification ability of default state. According to correlation analysis within guidelines, this study conducts the second screening to keep the selected indexes from reflecting the same information. This study builds a set of rating system which can significantly distinguish the default state of small industrial enterprises. This paper makes an innovative and characteristic attempt in two aspects. Firstly, according to the condition either with or without specific indicators, effects of using Fisher discriminant on identification accuracy of default state, it reflects the influence of specific indicators on the default state. Secondly, with regards to the two indicators with correlation coefficient above 0.7, this paper, based on the thought that the greater impact on the Fisher discriminant accuracy, the stronger ability of the index to distinguish default state, accurately removes the indexes that have smaller influence on Fisher discriminant.

Key words: industrial corporate, small corporate, credit rating, fisher discriminant

Pan Mingdao, Zhou Ying, Chi Guotai, Meng Bin. Small Industrial Enterprises' Credit Rating Model and Empirical Analysis Based on Fisher Discriminant[J]. , 2018, 30(3): 15-28.

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