IDEAS home Printed from https://ideas.repec.org/a/taf/uteexx/v57y2012i2p130-140.html
   My bibliography  Save this article

Technical Note: Simulating the Two-Factor Schwartz and Smith Model of Commodity Prices

Author

Listed:
  • Graham Davis

Abstract

Commodity price simulation is useful in many engineering economics applications, yet discrete approximations of the continuous stochastic processes used in modeling commodity prices are not always straightforward. This article describes the exact solution for discretely simulating the Schwartz and Smith (2000) two-factor model of commodity prices.

Suggested Citation

  • Graham Davis, 2012. "Technical Note: Simulating the Two-Factor Schwartz and Smith Model of Commodity Prices," The Engineering Economist, Taylor & Francis Journals, vol. 57(2), pages 130-140.
    • Handle: RePEc:taf:uteexx:v:57:y:2012:i:2:p:130-140
    DOI: 10.1080/0013791X.2012.677302
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0013791X.2012.677302
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0013791X.2012.677302?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. Lena Kitzing & Christoph Weber, "undated". "Support mechanisms for renewables: How risk exposure influences investment incentives," EWL Working Papers 1403, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Aug 2014.
    2. Mehrdoust, Farshid & Noorani, Idin & Kanniainen, Juho, 2024. "Valuation of option price in commodity markets described by a Markov-switching model: A case study of WTI crude oil market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 215(C), pages 228-269.
    3. Hahn, Warren J. & DiLellio, James A. & Dyer, James S., 2014. "What do market-calibrated stochastic processes indicate about the long-term price of crude oil?," Energy Economics, Elsevier, vol. 44(C), pages 212-221.

    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:57:y:2012:i:2:p:130-140. 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.