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Analysis of mergers and acquisitions between 2009 and 2020

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  • Chernenko, Natalya
  • Moiseienko, Tetiana
  • Korohodova, Olena
  • Hlushchenko, Yaroslava

Abstract

This paper studies the dynamics and trends in processes of mergers and acquisitions in a highly competitive and global economic environment. The aim of this study is to analyse and divide into periods M&A agreements in the global economy. The study produces a precise definition and discusses benefits and drawbacks of such horizontal and vertical agreements. The authors discuss historical waves of mergers and acquisitions processes and present 11 individual periods containing special aspects and description of types of the agreements, as well as supplement the periods with COVID-19 pandemic flow for 2020-2021. A polynomial regression analysis is used to predict the mechanism, results and magnitude of mergers and acquisitions. Furthermore, a discrete time model enables studying behaviour pattern of mergers and acquisitions happened during 2009-2020. The results demonstrate that transnational companies are greatly attributed to economic growth through mergers and acquisitions despite their rather high preparation and implementation costs. It may be expected an escalation of capital redistribution among pharmaceutical and bioengineering companies in a post-pandemic period due to increased M&A agreements.

Suggested Citation

  • Chernenko, Natalya & Moiseienko, Tetiana & Korohodova, Olena & Hlushchenko, Yaroslava, 2021. "Analysis of mergers and acquisitions between 2009 and 2020," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., vol. 30(4), pages 1-18.
    • Handle: RePEc:sdo:regaec:v:30:y:2021:i:4_6
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    File URL: https://revistas.usc.gal/index.php/rge/article/view/7558
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    References listed on IDEAS

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    Cited by:

    1. Rehman, Obaid Ur & Zhou, Zihan & Wu, Kai & Li, Wen, 2024. "From courtrooms to corporations: The effect of bankruptcy court establishment on firm acquisitions," Finance Research Letters, Elsevier, vol. 61(C).

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