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Common wave behavior for mergers and acquisitions in OECD countries? a unique analysis using new Markov switching panel model approach

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  • Shyh-Wei Chen

    (Department of Finance, Da-Yeh University)

  • Mei-Rong Lin

    (Department of Money and Banking, National Chengchi University)

  • Chung-Hua Shen

    (Department and Graduate Institute of Finance, National Taiwan University)

Abstract

This paper investigates whether or not there is co-waved merger and acquisition (M&A) activity in 26 OECD countries. We apply the Markov Switching model to panel data (MSP hereafter), an approach which has not previously been attempted. Two distinct regimes are recognized in emerge from M&A data: the wave merger regime and normal merger regime. Our MSP captures the co-wave pattern of the sample countries and has a much better fit than either the univariate Markov Switching model or the conventional linear panel model.

Suggested Citation

  • Shyh-Wei Chen & Mei-Rong Lin & Chung-Hua Shen, 2008. "Common wave behavior for mergers and acquisitions in OECD countries? a unique analysis using new Markov switching panel model approach," Economics Bulletin, AccessEcon, vol. 7(8), pages 1-12.
    • Handle: RePEc:ebl:ecbull:eb-08g30007
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    References listed on IDEAS

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    1. 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.
    2. Hansen, Bruce E, 1996. "Erratum: The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 195-198, March-Apr.
    3. Perron, P, 1993. "Erratum [The Great Crash, the Oil Price Shock and the Unit Root Hypothesis]," Econometrica, Econometric Society, vol. 61(1), pages 248-249, January.
    4. Asea, Patrick K. & Blomberg, Brock, 1998. "Lending cycles," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 89-128.
    5. Shleifer, Andrei & Vishny, Robert W., 2003. "Stock market driven acquisitions," Journal of Financial Economics, Elsevier, vol. 70(3), pages 295-311, December.
    6. Yagil, Joseph, 1996. "Mergers and macro-economic factors," Review of Financial Economics, Elsevier, vol. 5(2), pages 181-190.
    7. Engel, Charles & Hamilton, James D, 1990. "Long Swings in the Dollar: Are They in the Data and Do Markets Know It?," American Economic Review, American Economic Association, vol. 80(4), pages 689-713, September.
    8. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    9. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    10. Marcelo Resende, 1999. "Wave Behaviour of Mergers and Acquisitions in the UK: A Sectoral Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(1), pages 85-94, February.
    11. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
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    Cited by:

    1. Josipa Visic, 2012. "Evidence of Fire-Sale M&A in European Transition Countries," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 10(4 (Winter), pages 325-340.
    2. Aidi WAFA & Mohamed AYADI, 2010. "What Effect Exerts Sequencing of International Liberalization on Regional Financial Stability?," EcoMod2010 259600169, EcoMod.

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    • G3 - Financial Economics - - Corporate Finance and Governance

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