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Disentangling acquisition premia: Evidence from the global market for corporate control

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  • Baldi, Francesco
  • Salvi, Antonio

Abstract

Our empirical analysis of 403 acquisitions completed globally between 2007 and 2015 uses a holistic approach to explain the key determinants of premia paid by acquirers, addressed by distinct literature streams. Our results show that overconfident, cash-generating acquirers overpay the targets. Higher premia are justified for larger-sized, high-growth targets, non-conglomerate acquisitions, and when the consideration is paid in stock. Acquirers embed expected operating synergies in premia offered to target shareholders. However, while cost-cutting synergies, more reliably achieved in post-merger integration, are easy to disclose and price, revenue enhancement synergies, requiring exceptional managerial capabilities, are of longer-term nature but more uncertain, thus leading acquirers to precautionarily withhold them in premium pricing. Financial synergies, arising from combining weakly or negatively correlated businesses, are not typically priced upfront.

Suggested Citation

  • Baldi, Francesco & Salvi, Antonio, 2022. "Disentangling acquisition premia: Evidence from the global market for corporate control," Finance Research Letters, Elsevier, vol. 48(C).
    • Handle: RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322001684
    DOI: 10.1016/j.frl.2022.102885
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    More about this item

    Keywords

    Acquisition premium; Synergies; Managerial hubris; Horizontal acquisitions; Market for corporate control;
    All these keywords.

    JEL classification:

    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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