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A simulation on the presence of competing bidders in mergers and acquisitions

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  • Aintablian, Sebouh
  • Khoury, Wissam El

Abstract

The current paper applies Monte Carlo simulation on the presence of competing bidders in mergers and acquisitions. We present a new approach for quantifying uncertainty and use a Brownian model where “the presence of a competing bidder” is the random variable. Our model sets its boundaries by employing physical random number generators. The calculation of boundaries enables the simulation of “certainty” about the presence of a competing bidder, and thereafter, the prediction of the geometric Brownian motion path. We use difference in country and industry as proxies for uncertainty and incorporate them into the model. By applying a sample of 3278 acquisitions we find that the slope of the geometric Brownian motion is increasing.

Suggested Citation

  • Aintablian, Sebouh & Khoury, Wissam El, 2017. "A simulation on the presence of competing bidders in mergers and acquisitions," Finance Research Letters, Elsevier, vol. 22(C), pages 233-243.
    • Handle: RePEc:eee:finlet:v:22:y:2017:i:c:p:233-243
    DOI: 10.1016/j.frl.2017.03.002
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Mergers; Acquisitions; Competing bidders; Monte Carlo simulation; Brownian motion; Uncertainty; Random number generators;
    All these keywords.

    JEL classification:

    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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