Empirical Study on Logistic Model and KMV Model to Measure Credit Risk of China's Manufacturing Listed Companies

DOI

10.2991/wrarm-17.2017.26How to use a DOI?

Keywords

Manufacturing Listed Companies; Credit Risk Prediction; Logistic Model; KMV Model

Abstract

This paper selects 20 financial indicators of stock market of our country manufacturing industry 26 ST companies and 26 non ST listed companies as the research sample to construct the logistic model, the study found that: the level of profitability and expansion capacity of enterprises compared using ability, solvency to determine whether the enterprise default has played a more significant role. In addition, the KMV model of the same sample enterprises, with the logistic model, logistic model to predict the sample enterprise default precision is higher than that of KMV model, it shows that the logistic model is compared with the KMV model is more suitable for China's manufacturing industry to determine the credit risk of listed companies.

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/).

Download article (PDF)

TY  - CONF
AU  - Honglin Chen
AU  - Neng Jiang
PY  - 2017/11
DA  - 2017/11
TI  - Empirical Study on Logistic Model and KMV Model to Measure Credit Risk of China's Manufacturing Listed Companies
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 146
EP  - 151
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.26
DO  - 10.2991/wrarm-17.2017.26
ID  - Chen2017/11
ER  -