IDEAS home Printed from https://ideas.repec.org/a/taf/uteexx/v68y2023i4p190-210.html
   My bibliography  Save this article

Introducing a real option framework for EVA/MVA analysis

Author

Listed:
  • Tom Arnold
  • Timothy Falcon Crack
  • Cassandra D. Marshall
  • Adam Schwartz

Abstract

The importance of including real option analysis (ROA) in traditional net present value (NPV) analysis has been demonstrated in the literature: ROA values the flexibility to defer, expand, contract, or abandon an investment project, allowing for dynamic decision making. However, methods to apply ROA for firms that utilize economic value added (EVA) and market value added (MVA) for project valuation purposes are not available. This article presents a novel framework that allows for an EVA/MVA analysis to be incorporated into a binomial tree option pricing model. This new EVA/MVA-embedded binomial tree framework not only allows for the consideration of real managerial options within EVA/MVA analysis but also demonstrates its equivalence to the traditional ROA used to adjust NPV. The benefits of this development are that EVA/MVA with an embedded binomial tree is deemed to be an equally valid and robust technique to traditional NPV analysis as opposed to simply being viewed as an alternative or competing measure of project value. This further validates the choice of some firms’ use of EVA/MVA and shows that strategic ROA can be incorporated into corporate decision making.

Suggested Citation

  • Tom Arnold & Timothy Falcon Crack & Cassandra D. Marshall & Adam Schwartz, 2023. "Introducing a real option framework for EVA/MVA analysis," The Engineering Economist, Taylor & Francis Journals, vol. 68(4), pages 190-210, October.
  • Handle: RePEc:taf:uteexx:v:68:y:2023:i:4:p:190-210
    DOI: 10.1080/0013791X.2023.2245828
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0013791X.2023.2245828
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0013791X.2023.2245828?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.

    More about this item

    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:taf:uteexx:v:68:y:2023:i:4:p:190-210. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UTEE20 .

    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.