IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v270y2018i3p1182-1194.html
   My bibliography  Save this article

Optimal contingent payment mechanisms and entrepreneurial financing decisions

Author

Listed:
  • Tavares-Gärtner, Miguel
  • Pereira, Paulo J.
  • Brandão, Elísio

Abstract

We explore Contingent Payment Mechanisms (also known as Contingent Earn-Outs) as a capital raising strategy surrounding Entrepreneurial Financing decisions. Unlike previous literature, which investigates how Contingent Payment Mechanisms are used within the context of mergers and acquisitions, we show how an optimum contingent payment might be designed so that one Entrepreneur and one external equity provider – taken as a Venture Capitalist – are simultaneously and jointly willing to support a given Entrepreneurial Firm and its growth strategy. We show that such optimum contingent payment might be designed for a range of different types of contingent payments, for which we present a novel taxonomy. As closed-form solutions underlay the terms of such optimum contingent payments, we provide a tractable analytical tool for Entrepreneurs and Venture Capitalists to easily contract these Contingent Payment Mechanisms.

Suggested Citation

  • Tavares-Gärtner, Miguel & Pereira, Paulo J. & Brandão, Elísio, 2018. "Optimal contingent payment mechanisms and entrepreneurial financing decisions," European Journal of Operational Research, Elsevier, vol. 270(3), pages 1182-1194.
  • Handle: RePEc:eee:ejores:v:270:y:2018:i:3:p:1182-1194
    DOI: 10.1016/j.ejor.2018.04.044
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221718303655
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2018.04.044?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thomas W. Archibald & Edgar Possani, 2021. "Investment and operational decisions for start-up companies: a game theory and Markov decision process approach," Annals of Operations Research, Springer, vol. 299(1), pages 317-330, April.
    2. Ferreira, Ricardo M. & Pereira, Paulo J., 2021. "A dynamic model for venture capitalists’ entry–exit investment decisions," European Journal of Operational Research, Elsevier, vol. 290(2), pages 779-789.
    3. Driouchi, Tarik & Trigeorgis, Lenos & So, Raymond H.Y., 2020. "Individual antecedents of real options appraisal: The role of national culture and ambiguity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1018-1032.

    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:eee:ejores:v:270:y:2018:i:3:p:1182-1194. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.