IDEAS home Printed from https://ideas.repec.org/p/ags/huiawp/18823.html
   My bibliography  Save this paper

Bounded Recursive Stochastic Simulation - A Simple and Efficient Method for Pricing Complex American Type Options

Author

Listed:
  • Musshoff, Oliver
  • Hirschauer, Norbert
  • Palmer, Ken

Abstract

This paper gives an overview of simulation based procedures, which have proved to be efficient in valuing American options and therefore real options. Many of them integrate sequential stochastic simulations in the backward recursive programming approach to determine the early-exercise frontier. They subsequently value the option by initiating a Monte-Carlo simulation from the valuation date of the option. It turns out that one approach (Grant et al., 1997) is especially simple. We are able to enhance its efficiency by stripping it of some time consuming but unnecessary simulation steps. Our simplified approach could be called "Bounded Recursive Stochastic Simulation".

Suggested Citation

  • Musshoff, Oliver & Hirschauer, Norbert & Palmer, Ken, 2002. "Bounded Recursive Stochastic Simulation - A Simple and Efficient Method for Pricing Complex American Type Options," Working Paper Series 18823, Humboldt University Berlin, Department Agricultural Economics.
  • Handle: RePEc:ags:huiawp:18823
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/18823
    Download Restriction: no

    References listed on IDEAS

    as
    1. Odening, Martin & Hinrichs, Jan, 2003. "Die Quantifizierung von Marktrisiken in der Tierproduktion mittels Value-at-Risk und Extreme-Value-Theory," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(2).
    2. Musshoff, Oliver & Hirschauer, Norbert & Palmer, Ken, 2002. "Bounded Recursive Stochastic Simulation - A Simple and Efficient Method for Pricing Complex American Type Options," Working Paper Series 18823, Humboldt University Berlin, Department Agricultural Economics.
    3. Odening, Martin, 2000. "Der Optionswert von Sachinvestitionen - Theoretischer Hintergrund und Bewertungsmethoden," Working Paper Series 18828, Humboldt University Berlin, Department Agricultural Economics.
    4. Lissitsa, Alexej & Odening, Martin, 2001. "Effizienz und totale Faktor-produktivitat in der ukrainischen Landwirtschaft im Transformationsprozess," Working Paper Series 7391, Humboldt University Berlin, Department Agricultural Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Grethe, Harald, 2004. "Turkey's Accession to the EU: What Will the Common Agricultural Policy Cost?," Working Paper Series 18821, Humboldt University Berlin, Department Agricultural Economics.
    2. Nolte, Stephan, 2006. "The application of spatial models in the analysis of bilateral trade flows: An alternative to the Armington approach for the world sugar market," Working Paper Series 10288, Humboldt University Berlin, Department Agricultural Economics.
    3. Musshoff, Oliver & Hirschauer, Norbert & Palmer, Ken, 2002. "Bounded Recursive Stochastic Simulation - A Simple and Efficient Method for Pricing Complex American Type Options," Working Paper Series 18823, Humboldt University Berlin, Department Agricultural Economics.
    4. von Witzke, Harald & Kirschke, Dieter & Lotze-Campen, Hermann & Noleppa, Steffen, 2005. "The Economics of Alternative Strategies for the Reduction of Food-borne Diseases in Developing Countries: The Case of Diarrhea in Rwanda," Working Paper Series 18830, Humboldt University Berlin, Department Agricultural Economics.
    5. Badri, Balghis & Knuth, Hardine, 2008. "The Engendered Spaces in the Village at the Edge of the Capital: A Case Study of Al Gharaza/Sudan," Working Paper Series 43095, Humboldt University Berlin, Department Agricultural Economics.

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    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:ags:huiawp:18823. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/iahubde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.