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Waves and persistence in merger and acquisition activity

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  • Barkoulas, John T.
  • Baum, Christopher F.
  • Chakraborty, Atreya

Abstract

Does merger and acquisition (M&A) activity occur in waves, that is, are there oscillations between low and high levels of M&A activity? The answer to this question is important in developing univariate as well as structural models of explaining and forecasting the stochastic behavior of M&A activity. There is evidence to suggest that aggregate U.S. time-series data on merger and acquisition (M&A) activity exhibit a "wave" behavior, which has been modeled by fitting either a two-state Markov switching-regime model or a sine-wave model to the data. This study provides an alternative characterization of the temporal patterns in M&A as a nonlinear process with strongly persistent or long-memory dynamics. The apparent level changes or partial cycles of differing magnitudes in aggregate M&A time series are consistent with an underlying data generating process exhibiting long memory. Time- and frequency-domain estimation methods are applied to a long M&A time series constructed by Town (1992), covering approximately a century of merger activity in the U.S. economy. We find significant evidence of long-term cyclical behavior, nonperiodic in nature, in the M&A time series, even after accounting for potential shifts in the mean level of the series. A shock to M&A activity exhibits significant persistence as it is damped at the very slow hyperbolic rate, but it eventually dissipates. We provide both theoretical and empirical rationales for the presence of fractional dynamics with long-memory features in M&A activity. Theoretically, long-term dependence may be due to persistent differences in firm valuation between stockholders and nonstockholders following an "economic disturbance," as suggested by Gort (1969). Empirically, long-memory dynamics in M&A activity may reflect the statistical properties of fundamental factors underlying its behavior, as several of the proposed determinants of M&A activity have been shown to exhibit strong persistence.
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  • Barkoulas, John T. & Baum, Christopher F. & Chakraborty, Atreya, 2001. "Waves and persistence in merger and acquisition activity," Economics Letters, Elsevier, vol. 70(2), pages 237-243, February.
  • Handle: RePEc:eee:ecolet:v:70:y:2001:i:2:p:237-243
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    1. Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
    2. Town, R J, 1992. "Merger Waves and the Structure of Merger and Acquisition Time-Series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 83-100, Suppl. De.
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    Cited by:

    1. Mike Fusillo, 2011. "Structural Factors Underlying Mergers and Acquisitions in Liner Shipping," Chapters, in: Kevin Cullinane (ed.), International Handbook of Maritime Economics, chapter 8, Edward Elgar Publishing.
    2. Gärtner, Dennis L. & Halbheer, Daniel, 2009. "Are there waves in merger activity after all?," International Journal of Industrial Organization, Elsevier, vol. 27(6), pages 708-718, November.
    3. Alberto Salvo, 2010. "Sequential Cross‐border Mergers in Models of Oligopoly," Economica, London School of Economics and Political Science, vol. 77(306), pages 352-383, April.
    4. Benjamin Auer & Frank Schuhmacher, 2013. "RETRACTED ARTICLE: Investor sentiment, stock market valuation and merger activity," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 60(2), pages 245-245, June.
    5. Lien Duong, 2013. "Aggregate Australian Takeovers: A Review of Markov Regime Switching Models," International Review of Finance, International Review of Finance Ltd., vol. 13(4), pages 529-558, December.
    6. Gadea, Maria Dolores & Sabate, Marcela & Serrano, Jose Maria, 2004. "Structural breaks and their trace in the memory: Inflation rate series in the long-run," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(2), pages 117-134, April.
    7. Neumann, Gyde & Weiss, Christoph R., 2001. "Strukturwandel durch Fusionen im Ernährungssektor: Ein anhaltender Konzentrationsprozess?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(06), pages 1-9.
    8. Salvo, Alberto, 2004. "A general analysis of sequential merger games with an application to cross-border mergers," LSE Research Online Documents on Economics 6732, London School of Economics and Political Science, LSE Library.
    9. Florian Szücs, 2013. "Clustering Properties of Merger Waves: Space, Time or Industry?," Discussion Papers of DIW Berlin 1322, DIW Berlin, German Institute for Economic Research.
    10. Nakamura, H. Richard, 2002. "Mapping Out the Japanese Mergers & Acquisitions Patterns - The Influence of Macro Factors on M & As," EIJS Working Paper Series 164, Stockholm School of Economics, The European Institute of Japanese Studies.
    11. Luis A. Gil-Alana & Andrea Mervar & James E. Payne, 2017. "The stationarity of inflation in Croatia: anti-inflation stabilization program and the change in persistence," Economic Change and Restructuring, Springer, vol. 50(1), pages 45-58, February.
    12. Margarita Sapozhnikov, 2006. "Mergers and Government Policy," Boston College Working Papers in Economics 656, Boston College Department of Economics.
    13. Marcelo Resende, 2012. "Long Memory in Mergers and Acquisitions: Sectoral Evidence for an Emerging Economy," Economics Bulletin, AccessEcon, vol. 32(4), pages 2876-2883.
    14. Nakamura, Richard, 2004. "To Merge And Acquire When The Times Are Good? The Influence Of Macro Factors On The Japanese M&A Pattern," EIJS Working Paper Series 197, Stockholm School of Economics, The European Institute of Japanese Studies.
    15. Hou, Rui & Yang, Jianmei & Yao, Canzhong & McKelvey, Bill, 2015. "How does competition structure affect industry merger waves? A network analysis perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 140-156.
    16. Mohammad Zarei & Amir Alambeigi & Parvaneh Karimi & Behrouz Zarei, 2015. "What Drives Mergers and Acquisitions Waves in Developing Countries? Evidences from Iranian Banking Industry," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 19(2), pages 123-137, Spring.

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    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G3 - Financial Economics - - Corporate Finance and Governance
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

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