This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Determinants of GNMA Mortgage Prices

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Michael J. Brennan
Eduardo S. Schwartz
Abstract

This paper contrasts three different arbitrage-based models for the pricing of GNMA securities, and analyzes the effect of different assumptions about the call policy pursued by the issuers of the underlying mortgages. Both the nature of the interest-rate uncertainty captured by the model and the assumed call policy have a major effect on the yield differentials predicted between GNMA securities and Treasury Bonds. Copyright American Real Estate and Urban Economics Association.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/1540-6229.00351
File Format: text/html
File Function: link to full text
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by American Real Estate and Urban Economics Association in its journal Real Estate Economics.

Volume (Year): 13 (1985)
Issue (Month): 3 ()
Pages: 209-228
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:bla:reesec:v:13:y:1985:i:3:p:209-228

Contact details of provider:
Web page: http://www.blackwellpublishing.com/journal.asp?ref=1080-8620

Order Information:
Web: http://www.blackwellpublishing.com/subs.asp?ref=1080-8620

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Francis A. Longstaff, 2004. "Optimal Recursive Refinancing and the Valuation of Mortgage-Backed Securities," NBER Working Papers 10422, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Leon G. Shilton & James R. Webb, 1989. "Commercial Loan Underwriting and Option Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 4(1), pages 1-12. [Downloadable!]
  3. Francis Longstaff, 2002. "Optimal Recursive Refinancing and the Valuation of Mortgage-Backed Securities," University of California at Los Angeles, Anderson Graduate School of Management 1050, Anderson Graduate School of Management, UCLA. [Downloadable!]
  4. Nicholas Sharp & Paul Johnson & David Newton & Peter Duck, 2009. "A New Prepayment Model (with Default): An Occupation-time Derivative Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 39(2), pages 118-145, August. [Downloadable!] (restricted)
  5. Yongheng Deng & Della Zheng & Changfeng Ling, 2005. "An Early Assessment of Residential Mortgage Performance in China," The Journal of Real Estate Finance and Economics, Springer, vol. 31(2), pages 117-136, September. [Downloadable!] (restricted)
Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by editing a NEP report.

This page was last updated on 2009-12-19.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.