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Riding the wave: Distributional properties and process explanations of merger and acquisition waves

Although Mergers and Acquisitions (M&A) are potential value-creation opportunities, why they tend to occur in waves is a mystery to scholars and managers alike. Most models of M&A waves are unilevel, reductionist, and Gaussian, whereas wave patterns are arguably multi-level, emergent, and non-normally distributed. Using complexity theory, I interpret waves as emergent expressions of a self-organized critical ecology of firms conceptualized as a complex adaptive system. My observation that aggregate U.S. M&A waves from 1895 to 2008 are power-law-distributed lends support. The view that waves are self-organized critical phenomena, similar to earthquakes and avalanches, facilitates integration of prior wave theories. I then employ process-tracing to generate a historical narrative of the Great Merger Wave of 1898-1903, from which I obtain a robust process for waves consistent with a CAS interpretation of these phenomena: (1) a privatizing, market-expanding and financially innovating transportation network generates (2a) laissez-faire regulation, (2b) economic competition, and (2c) financial arbitrage, leading to (3) a burst of consolidation. My process explanation explains the power laws emergence, and may help to understand better the process dynamics of M&A waves.

Identiferoai:union.ndltd.org:PITT/oai:PITTETD:etd-07262010-121919
Date05 October 2010
CreatorsPark, Jason Whan
ContributorsFrederik Schlingemann, John E. Prescott, Ravindranath Madhavan, Susan K. Cohen, Benoit Morel, Kevin H. Kim
PublisherUniversity of Pittsburgh
Source SetsUniversity of Pittsburgh
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.library.pitt.edu/ETD/available/etd-07262010-121919/
Rightsunrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to University of Pittsburgh or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.

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