IDEAS home Printed from https://ideas.repec.org/p/red/sed007/537.html
   My bibliography  Save this paper

Optimal Mortgage Design

Author

Listed:
  • Alexei Tchistyi

    (Stern NYU)

  • Tomasz Piskorski

    (Stern NYU)

Abstract

the market interest rate is low. Thus, our analysis provides theoretical evidence that these alternative mortgages, which have recently generated great controversy, can benefit both lenders and borrowers.

Suggested Citation

  • Alexei Tchistyi & Tomasz Piskorski, 2007. "Optimal Mortgage Design," 2007 Meeting Papers 537, Society for Economic Dynamics.
    • Handle: RePEc:red:sed007:537
    as

    Download full text from publisher

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

    Citations

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


    Cited by:

    1. Dwight M. Jaffee & John M. Quigley, 1975. "Housing Policy, Mortgage Policy, and the Federal Housing Administration," NBER Chapters, in: Measuring and Managing Federal Financial Risk, pages 97-125, National Bureau of Economic Research, Inc.
    2. Christopher Mayer & Karen Pence & Shane M. Sherlund, 2009. "The Rise in Mortgage Defaults," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 27-50, Winter.
    3. Bulent Guler, 2015. "Innovations in Information Technology and the Mortgage Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(3), pages 456-483, July.
    4. Michael Spence & Patricia Clarke Annez & Robert M. Buckley, 2009. "Urbanization and Growth : Commission on Growth and Development," World Bank Publications - Books, The World Bank Group, number 2582.
    5. Alexei Tchistyi & Tomasz Piskorski, 2008. "Stochastic House Appreciation and Optimal Mortgage Lending," 2008 Meeting Papers 938, Society for Economic Dynamics.
    6. Dwight Jaffee & Howard Kunreuther & Erwann Michel-Kerjan, 2008. "Long Term Insurance (LTI) for Addressing Catastrophe Risk," NBER Working Papers 14210, National Bureau of Economic Research, Inc.
    7. Elettra PALAZZESI & Andrea COVELLI & Giovanni CASCIELLO, 2014. "On The Volatility As A Determinant Of The Financial Crisis," Curentul Juridic, The Juridical Current, Le Courant Juridique, Petru Maior University, Faculty of Economics Law and Administrative Sciences and Pro Iure Foundation, vol. 57, pages 101-109, June.

    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:red:sed007:537. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.