Proceedings of the 2014 International Conference on e-Education, e-Business and Information Management

Empirical Analysis on Financial Distress Forecasting of Listed Companies in Jilin - Research based on Z-score Model

Authors
Shanshan Yu, Lihua Zhao
Corresponding Author
Shanshan Yu
Available Online April 2014.
DOI
10.2991/iceeim-14.2014.20How to use a DOI?
Keywords
financial crisis prediction model, Z-score ratings, Fisher discriminant, financial risk
Abstract

This article discusses the early warning model of financial crisis, considering our business practice. According to financial distress prediction model of existing listed companies, it applies the Fisher discriminant method in multivariate statistical, analyzes and forecasts the financial crisis of 31 listed companies in Jilin Province, and puts forward relevant policy recommendations, which make reference to the investment decisions of investors.

Copyright
© 2014, 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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Volume Title
Proceedings of the 2014 International Conference on e-Education, e-Business and Information Management
Series
Advances in Intelligent Systems Research
Publication Date
April 2014
ISBN
10.2991/iceeim-14.2014.20
ISSN
1951-6851
DOI
10.2991/iceeim-14.2014.20How to use a DOI?
Copyright
© 2014, 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  - Shanshan Yu
AU  - Lihua Zhao
PY  - 2014/04
DA  - 2014/04
TI  - Empirical Analysis on Financial Distress Forecasting of Listed Companies in Jilin - Research based on Z-score Model
BT  - Proceedings of the 2014 International Conference on e-Education, e-Business and Information Management
PB  - Atlantis Press
SP  - 69
EP  - 72
SN  - 1951-6851
UR  - https://doi.org/10.2991/iceeim-14.2014.20
DO  - 10.2991/iceeim-14.2014.20
ID  - Yu2014/04
ER  -