IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1102.3534.html
   My bibliography  Save this paper

Applying hedging strategies to estimate model risk and provision calculation

Author

Listed:
  • Alberto Elices
  • Eduard Gim'enez

Abstract

This paper introduces a relative model risk measure of a product priced with a given model, with respect to another reference model for which the market is assumed to be driven. This measure allows comparing products valued with different models (pricing hypothesis) under a homogeneous framework which allows concluding which model is the closest to the reference. The relative model risk measure is defined as the expected shortfall of the hedging strategy at a given time horizon for a chosen significance level. The reference model has been chosen to be Heston calibrated to market for a given time horizon (this reference model should be chosen to be a market proxy). The method is applied to estimate and compare this relative model risk measure under volga-vanna and Black-Scholes models for double-no-touch options and a portfolio of forward fader options.

Suggested Citation

  • Alberto Elices & Eduard Gim'enez, 2011. "Applying hedging strategies to estimate model risk and provision calculation," Papers 1102.3534, arXiv.org, revised Oct 2012.
  • Handle: RePEc:arx:papers:1102.3534
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1102.3534
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    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:arx:papers:1102.3534. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.