IDEAS home Printed from https://ideas.repec.org/p/sce/scecf4/73.html
   My bibliography  Save this paper

Stratetic Asset Allocation with an Arbitrage-Free Bond Market using Dynamic Programming

Author

Listed:
  • Carl Chiarella
  • Chih-ying Hsiao

Abstract

Recently, Campbell and Viceira (2002) have introduced a framework that allows for dynamic decisions in asset allocation. This paper follows up their work by showing how uncertainties and expectations may affect consumption and portfolio decisions in an intertemporal dynamic framework. We use the framework laid out by Merton(1973) for this type of model. We integrate into Merton's framework multi-factor models of bond pricing that satisfy the No-Arbitrage Principle. However, in this situation the intertemporal dynamic consumption and portfolio decision cannot be studied analytically by the integration of the multi-factors bond models as in Merton's original approach. In this paper the intertemporal optimization problem will be solved numerically using the method of the Dynamic Programming will be employed. The numerical errors due to the discretization of time and state space will be examined. Various properties of the optimal solution will be demonstrated numerically.

Suggested Citation

  • Carl Chiarella & Chih-ying Hsiao, 2004. "Stratetic Asset Allocation with an Arbitrage-Free Bond Market using Dynamic Programming," Computing in Economics and Finance 2004 73, Society for Computational Economics.
  • Handle: RePEc:sce:scecf4:73
    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. Willi Semmler, 2011. "Asset Prices, Booms and Recessions," Springer Books, Springer, number 978-3-642-20680-1, February.

    More about this item

    Keywords

    Merton's intertemporal model; numerical dynamic programming;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:scecf4:73. 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.