IDEAS home Printed from https://ideas.repec.org/p/mib/wpaper/529.html
   My bibliography  Save this paper

Displaying risk in mergers: a diagrammatic approach for exchange ratio determination

Author

Listed:
  • Alessandra Mainini
  • Enrico Moretto
  • Daniela Visetti

Abstract

This article extends, in a stochastic setting, previous results in the determination of feasible exchange ratios for merging companies. A first outcome is that shareholders of the companies involved in the merging process face both an upper and a lower bounds for acceptable exchange ratios. Secondly, in order for the improved ‘bargaining region’ to be intelligibly displayed, the diagrammatic approach developed by Kulpa is exploited.

Suggested Citation

  • Alessandra Mainini & Enrico Moretto & Daniela Visetti, 2024. "Displaying risk in mergers: a diagrammatic approach for exchange ratio determination," Working Papers 529, University of Milano-Bicocca, Department of Economics.
  • Handle: RePEc:mib:wpaper:529
    as

    Download full text from publisher

    File URL: http://repec.dems.unimib.it/repec/pdf/mibwpaper529.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, December.
    2. repec:eme:mfppss:v:34:y:2008:i:4:p:221-238 is not listed on IDEAS
    3. Hayne E. Leland, 2007. "Financial Synergies and the Optimal Scope of the Firm: Implications for Mergers, Spinoffs, and Structured Finance," Journal of Finance, American Finance Association, vol. 62(2), pages 765-807, April.
    4. Yagil, Joseph, 1987. "An Exchange Ratio Determination Model for Mergers: A Note," The Financial Review, Eastern Finance Association, vol. 22(1), pages 195-202, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicodano, Giovanna & Regis, Luca, 2019. "A trade-off theory of ownership and capital structure," Journal of Financial Economics, Elsevier, vol. 131(3), pages 715-735.
    2. Tobias Knabke & Sebastian Olbrich, 2018. "Building novel capabilities to enable business intelligence agility: results from a quantitative study," Information Systems and e-Business Management, Springer, vol. 16(3), pages 493-546, August.
    3. Sunder Shyam, 2011. "Imagined Worlds of Accounting," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 1(1), pages 1-14, January.
    4. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.
    5. Basile, Luigi Jesus & Carbonara, Nunzia & Pellegrino, Roberta & Panniello, Umberto, 2023. "Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making," Technovation, Elsevier, vol. 120(C).
    6. Loris Gaio, 2005. "A diversity-based approach to requirements tracing in new product development," ROCK Working Papers 031, Department of Computer and Management Sciences, University of Trento, Italy, revised 13 Jun 2008.
    7. B. A. Huberman & N. S. Glance, "undated". "Diversity and Collective Action," Working Papers _001, Xerox Research Park.
    8. Zhewei Zhang & Youngjin Yoo & Kalle Lyytinen & Aron Lindberg, 2021. "The Unknowability of Autonomous Tools and the Liminal Experience of Their Use," Information Systems Research, INFORMS, vol. 32(4), pages 1192-1213, December.
    9. David Stadelmann & Benno Torgler, 2012. "Bounded Rationality and Voting Decisions Exploring a 160-Year Period," Working Papers 2012.70, Fondazione Eni Enrico Mattei.
    10. Dirk Hackbarth & Richmond Mathews & David Robinson, 2014. "Capital Structure, Product Market Dynamics, and the Boundaries of the Firm," Management Science, INFORMS, vol. 60(12), pages 2971-2993, December.
    11. Djembissi, Bertrand, 2011. "Excessive risk taking and the maturity structure of debt," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1800-1816, October.
    12. Marques, Manuel O. & Pinto, João M., 2020. "A comparative analysis of ex ante credit spreads: Structured finance versus straight debt finance," Journal of Corporate Finance, Elsevier, vol. 62(C).
    13. Francis Marleau Donais & Irène Abi-Zeid & E. Owen D. Waygood & Roxane Lavoie, 2021. "A Framework for Post-Project Evaluation of Multicriteria Decision Aiding Processes from the Stakeholders’ Perspective: Design and Application," Group Decision and Negotiation, Springer, vol. 30(5), pages 1161-1191, October.
    14. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    15. Joseph J. French & Juxin Yan & Yukihiro Yasuda, 2019. "Relationships Matter: the Impact of Bank-Firm Relationships on Mergers and Acquisitions in Japan," Journal of Financial Services Research, Springer;Western Finance Association, vol. 56(3), pages 259-305, December.
    16. Marie-Laure Salles-Djelic & Michel Gutsatz, 2000. "Managerial Competencies for Organizational Flexibility: The Luxury Goods Industry between Tradition and Postmodernism," Post-Print hal-01892018, HAL.
    17. Rennard, Jean-Philippe, 2006. "Artificiality in Social Sciences," MPRA Paper 1458, University Library of Munich, Germany.
    18. Luoma, Jukka, 2016. "Model-based organizational decision making: A behavioral lens," European Journal of Operational Research, Elsevier, vol. 249(3), pages 816-826.
    19. Dalila Cisco Collatto & Aline Dresch & Daniel Pacheco Lacerda & Ione Ghislene Bentz, 2018. "Is Action Design Research Indeed Necessary? Analysis and Synergies Between Action Research and Design Science Research," Systemic Practice and Action Research, Springer, vol. 31(3), pages 239-267, June.
    20. Nadia Fiorino & Emma Galli & Ilde Rizzo & Marco Valente, 2023. "Public procurement and reputation. An agent‐based model," Metroeconomica, Wiley Blackwell, vol. 74(4), pages 806-832, November.

    More about this item

    Keywords

    Mergers and acquisitions; exchange ratio determination; synergy; risk-adjusted performance; diagrammatic representation;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mib:wpaper:529. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Matteo Pelagatti (email available below). General contact details of provider: https://edirc.repec.org/data/dpmibit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.