Advanced Search
MyIDEAS: Login to save this article or follow this journal

A General Structural Approach For Credit Modeling Under Stochastic Volatility

Contents:

Author Info

  • Escobar, Marcos

    ()
    (Department of Mathematics, Ryerson University)

  • Friederich, Tim

    ()
    (Chair of Mathematical Finance, Technische Universität München)

  • Seco, Luis

    ()
    (Department of Mathematics, University of Toronto)

  • Zagst, Rudi

    ()
    (Chair of Mathematical Finance, Technische Universität München)

Registered author(s):

    Abstract

    This paper assumes a structural credit model with underlying stochastic volatility combining the Black/Cox approach with the Heston model. We model the equity of a company as a barrier call option on its assets. The assets are assumed to follow a stochastic volatility process; this implies an equity model with most documented stylized facts incorporated. We derive the price of this option under a general framework where the barrier and strike are different from each other, allowing for richer financial applications. The expression for the probability of default under this framework is also provided. As the calibration of this model gets much more complex, we present an iterative fitting algorithm with which we are able to nicely estimate the parameters of the model, and we show via simulation the consistency of the estimator. We also study the sensitivity of the model parameters to the difference between the barrier and strike price.

    Download Info

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" 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.

    Bibliographic Info

    Article provided by Capco Institute in its journal Journal of Financial Transformation.

    Volume (Year): 32 (2011)
    Issue (Month): ()
    Pages: 123-132

    as in new window
    Handle: RePEc:ris:jofitr:1462

    Contact details of provider:
    Postal: 120 Broadway, 29th Floor New York, NY 10271
    Phone: +1 212 284 8600
    Email:
    Web page: http://www.capco.com/

    Related research

    Keywords: Barrier Option; Structural Black-Cox; Stochastic Volatility; Method of Moments;

    Find related papers by JEL classification:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

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

    Cited by:
    1. Marcos Escobar & Peter Hieber & Matthias Scherer, 2014. "Efficiently pricing double barrier derivatives in stochastic volatility models," Review of Derivatives Research, Springer, vol. 17(2), pages 191-216, July.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:ris:jofitr:1462. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Springett).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.