Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2018)

Research on the Financial Risk Evaluation of Listed Coal Companies Based on Entropy TOPSIS Method

Authors
Shaohui Zou, Sandan Liu
Corresponding Author
Shaohui Zou
Available Online March 2019.
DOI
10.2991/iafsm-18.2019.15How to use a DOI?
Keywords
Entropy TOPSIS; Coal listed companies; Risk assessment
Abstract

The coal industry is a pillar industry in China. It is very important for risk assessment of listed companies in the coal industry. Selecting 24 listed companies in the coal industry in China as the research object, build risk assessment indicators for listed coal companies from five aspects: debt-paying ability, profitability, operational ability, development ability, and cash flow ability, and use entropy weight method and TOPSIS method to calculate the weight of each index, finally calculated the closeness and ranking of each listed company and the best plan, and provided guidance for the risk management of coal enterprises.

Copyright
© 2019, 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 International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2018)
Series
Advances in Economics, Business and Management Research
Publication Date
March 2019
ISBN
978-94-6252-696-9
ISSN
2352-5428
DOI
10.2991/iafsm-18.2019.15How to use a DOI?
Copyright
© 2019, 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  - Shaohui Zou
AU  - Sandan Liu
PY  - 2019/03
DA  - 2019/03
TI  - Research on the Financial Risk Evaluation of Listed Coal Companies Based on Entropy TOPSIS Method
BT  - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2018)
PB  - Atlantis Press
SP  - 92
EP  - 97
SN  - 2352-5428
UR  - https://doi.org/10.2991/iafsm-18.2019.15
DO  - 10.2991/iafsm-18.2019.15
ID  - Zou2019/03
ER  -