Proceedings of the 2017 International Conference on Education, Economics and Management Research (ICEEMR 2017)

Research on M&A Performance of Chinese listed TMT Companies

Authors
Liqi Liu
Corresponding Author
Liqi Liu
Available Online May 2017.
DOI
10.2991/iceemr-17.2017.15How to use a DOI?
Keywords
TMT, M&A, Company Performance, Principal Component Analysis
Abstract

The TMT industry is an emerging industry which links the telecommunication industry, the high-tech industry and the media industry on the basis of internet technology. In this paper, Principal Component Analysis (PCA) method is introduced to establish M&A performance evaluation model for Chinese A-share TMT companies in order to measure the fluctuation of M&A performances in Chinese TMT industry. It shows that the performance of the acquiring party increases before the M&A while declines after the M&A. The performances of most of the acquiring companies drop below the previous level after the M&A, meaning that M&A activities have no significant influence on improving the performances of the listed TMT companies in Chinese A-share market.

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 Education, Economics and Management Research (ICEEMR 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2017
ISBN
978-94-6252-343-2
ISSN
2352-5398
DOI
10.2991/iceemr-17.2017.15How 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  - Liqi Liu
PY  - 2017/05
DA  - 2017/05
TI  - Research on M&A Performance of Chinese listed TMT Companies
BT  - Proceedings of the 2017 International Conference on Education, Economics and Management Research (ICEEMR 2017)
PB  - Atlantis Press
SP  - 63
EP  - 66
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceemr-17.2017.15
DO  - 10.2991/iceemr-17.2017.15
ID  - Liu2017/05
ER  -