Research on the Correlation between Payment Methods of M&A and M&A Performance of Listed Company

Yiping Liu and Danqing Ma

International Journal of Economics and Finance, 2018, vol. 10, issue 6, 90-96

Abstract: As mergers and acquisitions of listed companies have become increasingly active, payment methods of M&A have also increasingly diversified. This article takes M&A cases of listed companies in china capital market as samples during 2009 to 2013. Taking financial indexes analysis and factor analysis, we can construct M&A performance comprehensive score model, by which we can calculate the score. Then, build multiple regression model to study the relation between the performance of M&A and payment methods of M&A. Studies indicate that M&A performance is stable by the cash payment method and the cash payment method has a small effect on the M&A performance; M&A performance improves obviously by the stock payment method and mixed payment is not conducive to the improvement of long-term performance; The stock payment method has a huge positive effect on the M&A performance, and the mixed payment is not beneficial to improve the M&A performance.

Keywords: payment method of M&A; performance of M&A; factor analysis; multiple regression analysis (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.ccsenet.org/journal/index.php/ijef/article/view/74343 (application/pdf)
http://www.ccsenet.org/journal/index.php/ijef/article/view/74343 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijefaa:v:10:y:2018:i:6:p:90-96

Access Statistics for this article

More articles in International Journal of Economics and Finance from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().