Indexing mergers and acquisitions

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Gang, J., Guo, J. (M.), Hu, N. and Li, X. orcid id iconORCID: https://orcid.org/0000-0003-1034-4539 (2018) Indexing mergers and acquisitions. Quantitative Finance, 18 (6). pp. 1033-1048. ISSN 1469-7696 doi: 10.1080/14697688.2017.1369145

Abstract/Summary

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.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/110717
Identification Number/DOI 10.1080/14697688.2017.1369145
Refereed Yes
Divisions No Reading authors. Back catalogue items
Publisher Taylor & Francis
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