REVA-based Value Analysis on Listed Companies of Power Industry

DOI

10.2991/msota-16.2016.82How to use a DOI?

Keywords

economic value added; refined economic value added; market value added; enterprise value

Abstract

The paper establishes the regression model based on the economic value added(EVA), refined economic value added(REVA), net profit, net cash flow and other indicators selected from the financial data of power industry. Correlation analysis indicates that, in comparison with traditional financial indicators, EVA and REVA are more efficient in studying the value of China's electric power enterprises. And the interpretation to enterprise value will be more persuasive when combining EVA, REVA with traditional financial indicators. The study also finds out that the interpretative power of EVA-related indicators to enterprise value has been gradually increasing over the past seven 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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TY  - CONF
AU  - Qingyou Yan
AU  - Yonghua Wang
PY  - 2016/12
DA  - 2016/12
TI  - REVA-based Value Analysis on Listed Companies of Power Industry
BT  - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
PB  - Atlantis Press
SP  - 377
EP  - 379
SN  - 2352-538X
UR  - https://doi.org/10.2991/msota-16.2016.82
DO  - 10.2991/msota-16.2016.82
ID  - Yan2016/12
ER  -