Proceedings of the 2nd International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2017)

Credit Risk Measurement of Listed Manufacturing Companies in China Based on modified KMV Model for Empirical Analysis

Authors
Xuechan Lu, Wei Di
Corresponding Author
Xuechan Lu
Available Online June 2017.
DOI
https://doi.org/10.2991/iccessh-17.2017.197How to use a DOI?
Keywords
credit risk; KMV model; default point; manufacturing industry
Abstract
The whole manufacturing industry is in overcapacity across China, which is a key field for the supply-side reform. In recent years, the industrial credit risks are increasing continuously, and it is becoming more and more important on how to reasonably measure and identify the credit risks of manufacturing companies. This article chooses the financial data of 2015 from 60 listed companies as samples for analysis, setting ten different default points, with the SPSS, Matla and other tools used so as to get, compare, analyze and verify the results under different default points, it is found that under the default points, the revised KMV model has a common difference to identify the credit risks of listed manufacturing companies. Finally, the article draws a conclusion and gives relevant analysis.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Xuechan Lu
AU  - Wei Di
PY  - 2017/06
DA  - 2017/06
TI  - Credit Risk Measurement of Listed Manufacturing Companies in China Based on modified KMV Model for Empirical Analysis
BT  - 2nd International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2017)
PB  - Atlantis Press
SP  - 828
EP  - 832
SN  - 2352-5398
UR  - https://doi.org/10.2991/iccessh-17.2017.197
DO  - https://doi.org/10.2991/iccessh-17.2017.197
ID  - Lu2017/06
ER  -