Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)

Financial Situation of Listed Companies in Pharmaceutical Industry

Authors
Haokun Yan, Ting Xu
Corresponding Author
Haokun Yan
Available Online November 2017.
DOI
10.2991/wrarm-17.2017.20How to use a DOI?
Keywords
Pharmaceutical industry; Fuzzy comprehensive evaluation method; Risk warning
Abstract

This paper studies the financial risks of listed companies in China's pharmaceutical industry by means of qualitative research and quantitative research. Based on the financial data of Guizhou bailing pharmaceutical co, ltd. in 2015 and 2016. The empirical analysis shows that: Based on the fuzzy comprehensive evaluation method, the financial situation analysis of the listed companies in the pharmaceutical industry is feasible in the first year and the year of T. The financial status of listed companies in the pharmaceutical industry can be used to predict the financial risks of the pharmaceutical industry listed company T 1 and 2 years.

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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Volume Title
Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/wrarm-17.2017.20
ISSN
1951-6851
DOI
10.2991/wrarm-17.2017.20How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Haokun Yan
AU  - Ting Xu
PY  - 2017/11
DA  - 2017/11
TI  - Financial Situation of Listed Companies in Pharmaceutical Industry
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 110
EP  - 114
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.20
DO  - 10.2991/wrarm-17.2017.20
ID  - Yan2017/11
ER  -