Indexing mergers and acquisitions

Gang, J., Guo, J. (M.), Hu, N. and Li, X. (2018) Indexing mergers and acquisitions. Quantitative Finance, 18(6), pp. 1033-1048. (doi:10.1080/14697688.2017.1369145)

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Abstract

We measure the efficiency of mergers and acquisitions by putting forward an index (the ‘M&A Index’) based on stochastic frontier analysis. The M&A Index is calculated for each takeover deal and is standardized between 0 and 1. An acquisition with a higher index encompasses higher efficiency. We find that takeover bids with higher M&A Indices are more likely to succeed. Moreover, the M&A Index shows a strong and positive relation with the acquirers’ post-acquisition stock performance in the short run and operating performance in the long run. After constructing three portfolios under a buy-and-hold strategy, we find that efficient portfolios with the highest indices earn higher equity returns and monthly alphas than inefficient portfolios with the lowest indices. Overall, our findings indicate that the M&A Index is positively associated with merger outcomes for acquirers.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hu, Dr Nan and Guo, Dr Jie
Authors: Gang, J., Guo, J. (M.), Hu, N., and Li, X.
College/School:College of Social Sciences > Adam Smith Business School > Accounting and Finance
Journal Name:Quantitative Finance
Publisher:Taylor and Francis
ISSN:1469-7688
ISSN (Online):1469-7696
Published Online:06 October 2017
Copyright Holders:Copyright © 2017 Informa UK Limited, trading as Taylor & Francis Group
First Published:First published in Quantitative Finance 18(6): 1033-1048
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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