Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)

M&A, Institutional Investor and Executive Compensation

Authors
Qiwen Hu, Yongsheng Ge
Corresponding Author
Qiwen Hu
Available Online July 2018.
DOI
10.2991/msam-18.2018.72How to use a DOI?
Keywords
M&A; executive compensation; institutional investor
Abstract

The article try to explore the impact of M&A on executive compensation and further study the influence of institutional investors on the relationships between M&A and executive compensation. The study finds that the change in executive compensation has a significant positive correlation with M&A behavior, which reflects the fact that executives may tend to have self-interest in the event while the involvement of institutional investors will alleviate this problem. This study provides empirical evidence for institutional investor activism theory and the direction for corporate governance in M&A.

Copyright
© 2018, 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 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
Series
Advances in Intelligent Systems Research
Publication Date
July 2018
ISBN
978-94-6252-566-5
ISSN
1951-6851
DOI
10.2991/msam-18.2018.72How to use a DOI?
Copyright
© 2018, 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  - Qiwen Hu
AU  - Yongsheng Ge
PY  - 2018/07
DA  - 2018/07
TI  - M&A, Institutional Investor and Executive Compensation
BT  - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
PB  - Atlantis Press
SP  - 343
EP  - 346
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-18.2018.72
DO  - 10.2991/msam-18.2018.72
ID  - Hu2018/07
ER  -