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Mergers and Acquisitions Waves in the U.K.: a Markov-Switching Approach

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  • Marcelo Resende

Abstract

This paper further investigated wave behaviours for mergers and acquisitions-M&A in the U.K. during the 1969Q1/2004Q1 period by means of Markov-Switching models. Previous analysis had focused on traditional models that incorporate the potentially limiting assumption of constant transition probabilities across regimes. The consideration of more general models with time-varying transition probabilities across regimes along the lines of Diebold et al (1994) provide a useful route for assessing to which extent M&A waves are driven by economic variables usually considered in the related literature. The empirical implementation considered lagged conditioning variables referring to real output growth, real growth in money supply and real stock market returns. The evidence indicated that one should reject the constant transition probability model in favour of the time-varying transition probability model and therefore the usual aggregate variables considered in the empirical literature on M&A appear indeed to play some role in determining the wave behaviour of M&A in the U.K., though the effects are asymmetric across the different regimes.

Suggested Citation

  • Marcelo Resende, 2005. "Mergers and Acquisitions Waves in the U.K.: a Markov-Switching Approach," Economics Working Papers ECO2005/04, European University Institute.
  • Handle: RePEc:eui:euiwps:eco2005/04
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    1. Klaus Gugler & Dennis C. Mueller & B. Burçin Yurtoglu, 2006. "The Determinants of Merger Waves," CIG Working Papers SP II 2006-01, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
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    1. Boateng, Agyenim & Hua, Xiuping & Nisar, Shaista & Wu, Junjie, 2015. "Examining the determinants of inward FDI: Evidence from Norway," Economic Modelling, Elsevier, vol. 47(C), pages 118-127.
    2. Uddin, Moshfique & Boateng, Agyenim, 2011. "Explaining the trends in the UK cross-border mergers & acquisitions: An analysis of macro-economic factors," International Business Review, Elsevier, vol. 20(5), pages 547-556, October.
    3. Arif, Asma & An, Pengli & Qi, Yajie & Li, Huajiao & An, Haizhong & Hussain, Mujahid & Wang, Yanli, 2021. "The influence factors of the national roles in the FDI network: A combined methods of complex networks and Panel Data Analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    4. Röhrer, Fabio E.G. & Proano, Christian R. & Mateane, Lebogang, 2023. "The impact of macroeconomic activity and yield valuation on mergers and acquisitions in Europe," BERG Working Paper Series 185, Bamberg University, Bamberg Economic Research Group.
    5. Sibanjan Mishra, 2016. "Macro-economic factors and foreign direct investment in India: a Toda Yamamoto causality approach," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 11(3), pages 195-208.
    6. Hsueh, Shun-Jen & Tsao, Yao Chun & Tu, Chien-Heng & Chiu, Yung-Ho & Liu, Shu-Bing, 2014. "Can M&A activities act as a predictor of the performance of economic growth or stock prices?," Economic Modelling, Elsevier, vol. 42(C), pages 430-438.
    7. Camillia Zedan & Antonella Ianni & Seth Bullock, 2013. "Competition And Cascades In Markets: An Agent‐Based Model Of Endogenous Mergers," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(1), pages 39-51, January.
    8. Seung Hee Choi & Bang Nam Jeon, 2011. "The impact of the macroeconomic environment on merger activity: evidence from US time-series data," Applied Financial Economics, Taylor & Francis Journals, vol. 21(4), pages 233-249.
    9. Bruno Pires Tiberto & Helder Ferreira de Mendonça, 2023. "Effects of Sustainable Monetary and Fiscal Policy on FDI Inflows to EMDE Countries," Working Papers Series 575, Central Bank of Brazil, Research Department.
    10. Boateng, Agyenim & Hua, Xiuping & Uddin, Moshfique & Du, Min, 2014. "Home country macroeconomic factors on outward cross-border mergers and acquisitions: Evidence from the UK," Research in International Business and Finance, Elsevier, vol. 30(C), pages 202-216.
    11. Vissa, Siva Kameswari & Thenmozhi, M., 2022. "What determines mergers and acquisitions in BRICS countries: Liquidity, exchange rate or innovation?," Research in International Business and Finance, Elsevier, vol. 61(C).

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies

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