Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)

An Empirical Analysis of M & A Performance of Chinese Listed Companies

Authors
Chongqian Li, Mengnong Zhou
Corresponding Author
Chongqian Li
Available Online June 2017.
DOI
10.2991/msmi-17.2017.3How to use a DOI?
Keywords
M&A; factor analysis; long-term performance
Abstract

This paper chooses the listed companies of M & A events in Shanghai and Shenzhen stock markets in 2012 as research samples, using factor analysis to analyze the performance of the two years before the M & A and the three years after the M & A. The results show that: M & A short-term is effective, long-term is invalid. In addition, using the multiple regression model to analyze the influence factors of M & A performance of listed companies, the empirical results show that the related party transactions have no significant impact on the performance of M & A, the cash payment as a way of payment to improve corporate performance in the short term.

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 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
June 2017
ISBN
978-94-6252-369-2
ISSN
2352-5428
DOI
10.2991/msmi-17.2017.3How 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  - Chongqian Li
AU  - Mengnong Zhou
PY  - 2017/06
DA  - 2017/06
TI  - An Empirical Analysis of M & A Performance of Chinese Listed Companies
BT  - Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
PB  - Atlantis Press
SP  - 10
EP  - 13
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-17.2017.3
DO  - 10.2991/msmi-17.2017.3
ID  - Li2017/06
ER  -