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Does asymmetric information affect the premium in mergers and acquisitions?

Author

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  • Georges Dionne
  • Mélissa La Haye
  • Anne‐Sophie Bergerès

Abstract

We test the influence of information asymmetry on the premium paid for an acquisition. We analyze mergers and acquisitions as English auctions. The theory of dynamic auctions with private and common value predicts that more informed bidders may pay a lower price. We test that prediction with a sample of 1,026 acquisitions in the United States between 1990 and 2007. We assume that blockholders of the target's shares are better informed than other bidders because they possess privileged information on the target. Our empirical results show that blockholders pay a much lower premium than do other buyers Est‐ce que l'information asymétrique affecte la prime payée dans les opérations de fusion et d'acquisition? On évalue l'influence de l'asymétrie informationnelle sur la prime payée pour une acquisition. On examine les fusions et acquisitions en tant qu'enchères anglaises. La théorie dynamique des enchères avec valeurs privées et communes prédit que l'enchérisseur le mieux informé peut payer un prix plus bas. On teste cette prédiction avec un échantillon de 1026 acquisitions aux États‐Unis entre 1990 et 2007. On suppose que les détenteurs de blocs d'actions dans la firme ciblée sont mieux informés que les autres enchérisseurs parce qu'ils possèdent de l'information privilégiée sur la firme visée. Les résultats montrent que les détenteurs de blocs d'actions paient une prime beaucoup plus faible que les autres acheteurs.

Suggested Citation

  • Georges Dionne & Mélissa La Haye & Anne‐Sophie Bergerès, 2015. "Does asymmetric information affect the premium in mergers and acquisitions?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(3), pages 819-852, August.
  • Handle: RePEc:wly:canjec:v:48:y:2015:i:3:p:819-852
    DOI: 10.1111/caje.12159
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    2. Glenn Boyle & Gerald Ward, 2016. "Do Better Informed Investors Always Do Better?," Working Papers in Economics 16/29, University of Canterbury, Department of Economics and Finance.
    3. Patty Bick & Matthew D. Crook & Andrew A. Lynch & Brian R. Walkup, 2017. "Does Distance Matter In Mergers And Acquisitions?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 40(1), pages 33-54, March.
    4. 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).
    5. Glenn Boyle & Gerald Ward, 2018. "Do Better Informed Investors Always Do Better? A Buyback Puzzle," Economic Inquiry, Western Economic Association International, vol. 56(4), pages 2137-2157, October.
    6. Pierre Picard & Jennifer Wang & Kili Wang, 2019. "Collusion between Retailers and Customers: The Case of Insurance Fraud in Taiwan," Working Papers hal-02045335, HAL.
    7. Jedidi, Helmi & Dionne, Georges, 2019. "Nonparametric testing for information asymmetry in the mortgage servicing market," Working Papers 19-1, HEC Montreal, Canada Research Chair in Risk Management, revised 28 Oct 2019.
    8. Dalkır, Elif, 2015. "Shareholder information and partial tender offers," Economics Letters, Elsevier, vol. 136(C), pages 64-66.
    9. Paul Borochin & Chinmoy Ghosh & Di Huang, 2019. "Target information asymmetry and takeover strategy: Insights from a new perspective," European Financial Management, European Financial Management Association, vol. 25(1), pages 38-79, January.
    10. Georges Dionne, 2012. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud and Dynamic Data," Cahiers de recherche 1233, CIRPEE.
    11. Dionne, Georges & Michaud, Pierre-Carl & Pinquet, Jean, 2013. "A review of recent theoretical and empirical analyses of asymmetric information in road safety and automobile insurance," Research in Transportation Economics, Elsevier, vol. 43(1), pages 85-97.
    12. Lacerda, José & Pereira, Paulo J. & Rodrigues, Artur, 2021. "Toehold acquisitions as option games," Economics Letters, Elsevier, vol. 209(C).
    13. Mamun, Abdullah & Tannous, George & Zhang, Sicong, 2021. "Do regulatory bank mergers improve operating performance?," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 152-174.
    14. Pierre Picard & Kili Wang, 2015. "INSURANCE FRAUD THROUGH COLLUSION BETWEEN POLICYHOLDERS AND CAR DEALERS: THEORY AND EMPIRICAL EVIDENCE Pierre PICARD," Working Papers hal-01140590, HAL.
    15. Dionne, Georges & Fenou, Akouété & Mnasri, Mohamed, 2023. "Consolidation of the US property and casualty insurance industry: Is climate risk a causal factor for mergers and acquisitions?," Working Papers 23-1, HEC Montreal, Canada Research Chair in Risk Management.
    16. Gomes, Mathieu & Marsat, Sylvain, 2018. "Does CSR impact premiums in M&A transactions?," Finance Research Letters, Elsevier, vol. 26(C), pages 71-80.
    17. Suin Lee & Christos Pantzalis & Jung Chul Park, 2024. "Interstate migration‐based social networks and M&A decisions," The Financial Review, Eastern Finance Association, vol. 59(1), pages 113-153, February.
    18. Nikhil Ramkrishna Bandodkar & Renu Singh, 2022. "Small and Startup IT Firms, Information Chasms, and the Market for Acquisitions," Businesses, MDPI, vol. 2(3), pages 1-21, September.
    19. Hussaini, Mussa & Hussain, Nazim & Nguyen, Duc Khuong & Rigoni, Ugo, 2021. "Is corporate social responsibility an agency problem? An empirical note from takeovers," Finance Research Letters, Elsevier, vol. 43(C).
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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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