IDEAS home Printed from https://ideas.repec.org/a/eee/jfinec/v169y2025ics0304405x25000625.html
   My bibliography  Save this article

Collateral value uncertainty and mortgage credit provision

Author

Listed:
  • Jiang, Erica Xuewei
  • Zhang, Anthony Lee

Abstract

Houses with higher value uncertainty receive less mortgage credit: mortgages backed by these houses are more likely to be rejected, have higher interest rates, and have lower loan-to-price ratios. The relationship between house value uncertainty and credit availability is driven partly by a classic channel in which uncertainty lowers debt recovery rates, and partly by a novel channel where more uncertain appraisals make regulatory constraints on loan size more likely to bind. We build a structural model to quantify the effects of each channel, and show how a shift toward computerized asset appraisals could influence credit access.

Suggested Citation

  • Jiang, Erica Xuewei & Zhang, Anthony Lee, 2025. "Collateral value uncertainty and mortgage credit provision," Journal of Financial Economics, Elsevier, vol. 169(C).
  • Handle: RePEc:eee:jfinec:v:169:y:2025:i:c:s0304405x25000625
    DOI: 10.1016/j.jfineco.2025.104054
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304405X25000625
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jfineco.2025.104054?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.

    More about this item

    Keywords

    Collateral; Mortgages; Price dispersion; Appraisals;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • G5 - Financial Economics - - Household Finance

    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:eee:jfinec:v:169:y:2025:i:c:s0304405x25000625. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505576 .

    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.