IDEAS home Printed from https://ideas.repec.org/p/ver/wpaper/22-2010.html
   My bibliography  Save this paper

Monte Carlo derivative pricing with partial information in a class of doubly stochastic Poisson processes with marks

Author

Listed:
  • Silvia Centanni

    (Department of Economics (University of Verona))

  • Marco Minozzo

    (Department of Economics (University of Verona))

Abstract

To model intraday stock price movements we propose a class of marked doubly stochastic Poisson processes, whose intensity process can be interpreted in terms of the effect of information release on market activity. Assuming a partial information setting in which market agents are restricted to observe only the price process, a filtering algorithm is applied to compute, by Monte Carlo approximation, contingent claim prices, when the dynamics of the price process is given under a martingale measure. In particular, conditions for the existence of the minimal martingale measure Q are derived, and properties of the model under Q are studied.

Suggested Citation

  • Silvia Centanni & Marco Minozzo, 2010. "Monte Carlo derivative pricing with partial information in a class of doubly stochastic Poisson processes with marks," Working Papers 22/2010, University of Verona, Department of Economics.
    • Handle: RePEc:ver:wpaper:22/2010
    as

    Download full text from publisher

    File URL: http://dse.univr.it//workingpapers/IJTAF-744-r-paper.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    Minimal martingale measure; News arrival; Marked point process; Nonlinear filtering; Reversible jump Markov chain Monte Carlo; Ultra high frequency data;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ver:wpaper:22/2010. 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: Michael Reiter (email available below). General contact details of provider: https://edirc.repec.org/data/isverit.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.