Deal Breakage in Domestic and Cross-Border Mergers and Acquisitions: New Data and Avenues for Research
Ricks, Morgan
:
2020
Abstract
This Article presents a newly constructed mergers and acquisitions (M&A) data set that can support detailed analysis of deal outcomes, including deal breakage. The main novelty of the data set is a detailed classification scheme for characterizing deal
outcomes, using information drawn from public announcements and news reports. The data set also includes a number of
variables, hand gathered from press releases and merger agreements, that are unavailable in existing data sets in reliable
form, or at all. The data set consists of all definitive, signed M&A transactions involving US public company targets with a deal
value of at least $1 billion from 1996 to 2018. The data set excludes negotiations, hostile bids, and unsolicited offers not
resulting in a definitive transaction, which cannot be compared apples to apples with deals involving definitive agreements.
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