Proceedings of the Fifth International Conference on Economic and Business Management (FEBM 2020)

Financial Risk Evaluation of Listed Forestry Enterprises Based on Factor Analysis

Authors
Yuxin Yang
Corresponding Author
Yuxin Yang
Available Online 14 December 2020.
DOI
10.2991/aebmr.k.201211.082How to use a DOI?
Keywords
Factor analysis, forestry listed company, financial risk
Abstract

In this paper, 34 forestry listed companies were selected as the analysis sample, and their major financial indicators in 2018 were analyzed by factor analysis score, and the financial risk evaluation indicator system of forestry listed companies was constructed to identify the main factors affecting the financial risk of forestry enterprises. By scoring and ranking the degree of financial risk of listed forestry enterprises, the risk prevention recommendations are made, which provide theoretical reference and methodological guidance for improving the risk and performance evaluation system of forestry enterprises.

Copyright
© 2020, 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 International Conference on Economic and Business Management (FEBM 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
14 December 2020
ISBN
978-94-6239-296-0
ISSN
2352-5428
DOI
10.2991/aebmr.k.201211.082How to use a DOI?
Copyright
© 2020, 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  - Yuxin Yang
PY  - 2020
DA  - 2020/12/14
TI  - Financial Risk Evaluation of Listed Forestry Enterprises Based on Factor Analysis
BT  - Proceedings of the Fifth International Conference on Economic and Business Management (FEBM 2020)
PB  - Atlantis Press
SP  - 490
EP  - 494
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201211.082
DO  - 10.2991/aebmr.k.201211.082
ID  - Yang2020
ER  -