Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science

Establishment and Research on the Model of the Company's Financial Risk Warning Based on Principal Component Analysis and Logistic Regression

Authors
JingJing Fu
Corresponding Author
JingJing Fu
Available Online March 2015.
DOI
10.2991/etmhs-15.2015.1How to use a DOI?
Keywords
Company's Financial Risk Warning; Principal Component Analysis; Logistic Regression
Abstract

In this paper, we use the modern management theory to build a corporate financial risk early warning indicator system, while using the statistical method of principal component analysis and logistic regression analysis. Through the empirical research on listed companies' financial crisis situation, we established the company's financial early warning model to provide a scientific and feasible prediction method for enterprises to predict the financial crisis.

Copyright
© 2015, 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)

Volume Title
Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science
Series
Advances in Social Science, Education and Humanities Research
Publication Date
March 2015
ISBN
978-94-62520-61-5
ISSN
2352-5398
DOI
10.2991/etmhs-15.2015.1How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - JingJing Fu
PY  - 2015/03
DA  - 2015/03
TI  - Establishment and Research on the Model of the Company's Financial Risk Warning Based on Principal Component Analysis and Logistic Regression
BT  - Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-15.2015.1
DO  - 10.2991/etmhs-15.2015.1
ID  - Fu2015/03
ER  -