IDEAS home Printed from https://ideas.repec.org/a/bla/jacrfn/v17y2005i2p55-67.html
   My bibliography  Save this article

Valuing Assets Using Real Options: An Application to Deregulated Electricity Markets

Author

Listed:
  • Gregory P. Swinand
  • Carlos Rufin
  • Chetan Sharma

Abstract

This paper provides a detailed case of the application of real options valuation techniques to value a contract for the use of a power generation facility. The authors' aim is not primarily to offer a valuation “recipe” for a specific type of asset, but to show how the real options framework can be actually made to work in a variety of situations. The case illustrates how minor adaptations that take into account the ways in which actual settings differ from the assumptions of standard formulas like Black‐Scholes can be used to increase the precision and realism of results. By introducing relatively simple changes to a standard options valuation model, the authors obtain results that are reasonably close to those reported for actual transactions involving similar types of assets. Despite the industry‐specific context of the analysis, the applicability of the techniques discussed in the paper should extend beyond the energy industry to other contexts characterized by similar types of uncertainty and production process, particularly those associated with minerals and other commodities.

Suggested Citation

  • Gregory P. Swinand & Carlos Rufin & Chetan Sharma, 2005. "Valuing Assets Using Real Options: An Application to Deregulated Electricity Markets," Journal of Applied Corporate Finance, Morgan Stanley, vol. 17(2), pages 55-67, March.
  • Handle: RePEc:bla:jacrfn:v:17:y:2005:i:2:p:55-67
    DOI: 10.1111/j.1745-6622.2005.00032.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1745-6622.2005.00032.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1745-6622.2005.00032.x?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
    ---><---

    Citations

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


    Cited by:

    1. Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.
    2. Guthrie, Graeme & Videbeck, Steen, 2007. "Electricity spot price dynamics: Beyond financial models," Energy Policy, Elsevier, vol. 35(11), pages 5614-5621, November.

    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:bla:jacrfn:v:17:y:2005:i:2:p:55-67. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1078-1196 .

    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.