IDEAS home Printed from https://ideas.repec.org/a/wsi/ijtafx/v15y2012i03ns0219024912500215.html
   My bibliography  Save this article

Intensity-Based Models For Pricing Mortgage-Backed Securities With Repayment Risk Under A Cir Process

Author

Listed:
  • SEN WU

    (Department of Mathematics, Tongji University, Shanghai 200092, P. R. China)

  • LISHANG JIANG

    (Department of Mathematics, Tongji University, Shanghai 200092, P. R. China)

  • JIN LIANG

    (Department of Mathematics, Tongji University, Shanghai 200092, P. R. China)

Abstract

Under a reduced-form framework, we establish models for pricing mortgage-backed securities with prepayment risk by introducing a stochastic prepayment factor. In the zero-default scenario, the pricing pass-through securities and sequential-pay collateralized mortgage obligation structures are considered. To solve the problems, we introduce a path-dependent variable, from which partial differential equation problems are obtained when the prepayment rate is modeled by a CIR process. Numerical solution to the pricing problem is obtained by developing an explicit characteristics difference scheme.

Suggested Citation

  • Sen Wu & Lishang Jiang & Jin Liang, 2012. "Intensity-Based Models For Pricing Mortgage-Backed Securities With Repayment Risk Under A Cir Process," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-17.
  • Handle: RePEc:wsi:ijtafx:v:15:y:2012:i:03:n:s0219024912500215
    DOI: 10.1142/S0219024912500215
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219024912500215
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219024912500215?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Justin Sirignano & Kay Giesecke, 2019. "Risk Analysis for Large Pools of Loans," Management Science, INFORMS, vol. 65(1), pages 107-121, January.

    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:wsi:ijtafx:v:15:y:2012:i:03:n:s0219024912500215. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijtaf/ijtaf.shtml .

    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.