IDEAS home Printed from https://ideas.repec.org/a/bla/reesec/v21y1993i4p353-371.html
   My bibliography  Save this article

Loan Loss Severity and Optimal Mortgage Default

Author

Listed:
  • Vassilis Lekkas
  • John M. Quigley
  • Robert Van Order

Abstract

This paper tests the contingent claims model of mortgage default in its ruthless or frictionless form. The principal tests of the model are based on an unconventional source of data, namely, loan loss severities on defaulted mortgages. The frictionless model has well‐defined predictions about loss severities which we test in detail. The data analyzed include a random sample of all mortgages originated during the period 1975–90 and purchased by Freddie Mac, as well as the loss severities on all mortgages purchased by Freddie Mac which defaulted during the period. The frictionless model does not do well in these tests.

Suggested Citation

  • Vassilis Lekkas & John M. Quigley & Robert Van Order, 1993. "Loan Loss Severity and Optimal Mortgage Default," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(4), pages 353-371, December.
  • Handle: RePEc:bla:reesec:v:21:y:1993:i:4:p:353-371
    DOI: 10.1111/1540-6229.00616
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1540-6229.00616
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1540-6229.00616?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
    ---><---

    More about this item

    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:bla:reesec:v:21:y:1993:i:4:p:353-371. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/areueea.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.