IDEAS home Printed from https://ideas.repec.org/p/sce/scecf1/26.html
   My bibliography  Save this paper

Very High Order Lattice Methods for One Factor Models

Author

Listed:
  • Jonathan Alford and Nick Webber

Abstract

Lattice methods are often used to value derivative instruments. Multinomial lattice methods can in principle converge to the true value of the derivative to very high order. In this paper we describe how very high order multinomial lattices can be constructed and implemented when the SDE followed by the underlying state variable can be solved. We illustrate with comparisons between methods with branching order 3, 7, 11, 15 and 19 applied to a geometric Brownian motion. Incorporating both a terminal correction and appropriate truncation methods we find for the heptanomial lattice convergence rates at its theoretical maximum for European style options. With 50 time steps per year our errors are $O\\left( 10^{-11}\\right) $. With 100 time steps per year our errors are $O\\left( 10^{-13}\\right) $, approaching the practical limit of the accuracy obtainable in our implementation. We discuss alternative methods of enabling the heptanomial lattice to achieve high convergence rates for payoff functions with a finite number of critical points. As an example we value a binary option to a high degree of accuracy. We also investigate applications to American and Bermudan options. Based on our comparisons, we conclude that the heptanomial lattice is the fastest and most accurate of the lattices of higher order, and recommend its use as standard in many one factor lattice implementations.

Suggested Citation

  • Jonathan Alford and Nick Webber, 2001. "Very High Order Lattice Methods for One Factor Models," Computing in Economics and Finance 2001 26, Society for Computational Economics.
  • Handle: RePEc:sce:scecf1:26
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Mark Broadie & Jerome B. Detemple, 2004. "ANNIVERSARY ARTICLE: Option Pricing: Valuation Models and Applications," Management Science, INFORMS, vol. 50(9), pages 1145-1177, September.
    2. Mark Broadie & Yusaku Yamamoto, 2003. "Application of the Fast Gauss Transform to Option Pricing," Management Science, INFORMS, vol. 49(8), pages 1071-1088, August.
    3. Evis Këllezi & Nick Webber, 2004. "Valuing Bermudan options when asset returns are Levy processes," Quantitative Finance, Taylor & Francis Journals, vol. 4(1), pages 87-100.
    4. M. Broadie & Y. Yamamoto, 2005. "A Double-Exponential Fast Gauss Transform Algorithm for Pricing Discrete Path-Dependent Options," Operations Research, INFORMS, vol. 53(5), pages 764-779, October.

    More about this item

    Keywords

    Lattice; Multinomial; Heptanomial; Derivatives;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

    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:sce:scecf1:26. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.html .

    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.