Study on credit rating model of China's listed companies based on the optimal segmentation method

DOI

10.2991/wrarm-17.2017.3How to use a DOI?

Keywords

Projection pursuit method; ordered samples; cluster analysis; credit rating

Abstract

Listed companies play a crucial role in the development of China's economy. The accurate evaluation of the credit condition of Listed Companies in China is conducive to better management and healthy development. For this problem, first the samples were scored comprehensively by applying projection pursuit method, so ordered samples were obtained which ensured data comprehensive. Then Fisher optimal segmentation method was used to conduct the clustering analysis of ordered sample. Finally, the credit rating model of Listed Companies in china was obtained. A case study of financial statements of listed companies was also performed.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yinan Ning
AU  - Yunfei Li
PY  - 2017/11
DA  - 2017/11
TI  - Study on credit rating model of China's listed companies based on the optimal segmentation method
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 12
EP  - 17
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.3
DO  - 10.2991/wrarm-17.2017.3
ID  - Ning2017/11
ER  -