IDEAS home Printed from https://ideas.repec.org/p/fam/rpseri/rp127.html
   My bibliography  Save this paper

Optimal Changes of Gaussian Measures, with Application to Finance

Author

Listed:
  • Henry Schellhorn

    (HEC, University of Lausanne and FAME)

Abstract

We derive optimality conditions and calculate approximate solutions to the problem of determining the optimal speed of mean reversion to be applied to a Gaussian state variable. The optimality criterion is the minimization of the variance of the Radon-Nikodym derivative of the measure ”with mean-reversion ” with respect to the measure ”without mean-reversion ”under constraints. Our results have two main applications. First, we show that we can increase the speed of performing resimulation and sensitivity analysis in a Monte Carlo simulation. Second, we show that there is some phase delay between the optimal speed of mean-reversion and volatility. Incorporating this effect into preference modelling could contribute to solve the equity premium puzzle in finance.

Suggested Citation

  • Henry Schellhorn, 2002. "Optimal Changes of Gaussian Measures, with Application to Finance," FAME Research Paper Series rp127, International Center for Financial Asset Management and Engineering.
  • Handle: RePEc:fam:rpseri:rp127
    as

    Download full text from publisher

    File URL: http://www.swissfinanceinstitute.ch/rp127.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Equity premium puzzle; Monte Carlo simulation; change of measure;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:fam:rpseri:rp127. 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: Ridima Mittal (email available below). General contact details of provider: https://edirc.repec.org/data/fameech.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.