Skip to main content

Main menu

  • Home
  • Current Issue
  • Past Issues
  • Videos
  • Submit an article
  • More
    • About JPM
    • Awards
    • Editorial Board
    • Published Ahead of Print (PAP)
  • IPR Logo
  • About Us
  • Journals
  • Publish
  • Advertise
  • Videos
  • Webinars
  • More
    • Awards
    • Article Licensing
    • Academic Use
  • Follow IIJ on LinkedIn
  • Follow IIJ on Twitter

User menu

  • Sample our Content
  • Request a Demo
  • Log in

Search

  • ADVANCED SEARCH: Discover more content by journal, author or time frame
The Journal of Portfolio Management
  • IPR Logo
  • About Us
  • Journals
  • Publish
  • Advertise
  • Videos
  • Webinars
  • More
    • Awards
    • Article Licensing
    • Academic Use
  • Sample our Content
  • Request a Demo
  • Log in
The Journal of Portfolio Management

The Journal of Portfolio Management

ADVANCED SEARCH: Discover more content by journal, author or time frame

  • Home
  • Current Issue
  • Past Issues
  • Videos
  • Submit an article
  • More
    • About JPM
    • Awards
    • Editorial Board
    • Published Ahead of Print (PAP)
  • Follow IIJ on LinkedIn
  • Follow IIJ on Twitter

The Concept of Credit OAS in Valuation of MBS

Alexander Levin and Andrew Davidson
The Journal of Portfolio Management Spring 2008, 34 (3) 41-55; DOI: https://doi.org/10.3905/jpm.2008.706242
Alexander Levin
The director of Valuation Development at Andrew Davidson & Co., Inc., in New York, NY.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: alex@ad-co.com
Andrew Davidson
The president and founder of Andrew Davidson & Co., Inc., in New York, NY.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: andy@ad-co.com
  • Article
  • Info & Metrics
  • PDF (Subscribers Only)
Loading

Abstract

Neither the traditional option-adjusted spread (OAS) method nor a static loss forecasting is capable of providing a rational explanation of the pricing of traded asset-backed securities (ABS), credit default swaps, and loan protections. In this article, the authors introduce the concept of credit OAS, which revolves around the stochasticity of both interest rates and home prices. The credit OAS approach requires a risk-neutral stochastic model of home prices, a model of defaults and losses (theoretical or empirical), and a rigorous and efficient valuation scheme. The authors discuss how the risk-neutral conditions can be formed from concurrently observed prices of ABS tranches up and down the credit structure. An alternative is to analyze the cost of a GSE guarantee inclusive of capital requirements to support the guarantee. The authors illustrate their method with case studies in both liquid and illiquid markets. Even distressed market prices can be explained by a combination of modeled losses and a properly selected credit OAS level (i.e., liquidity spread). The greeks (risk measures), however, depend strongly on the modeling details (such as the link between interest rates and home prices), vary widely from model to model, and tend to be far away from traditional measures.

TOPICS: MBS and residential mortgage loans, asset-backed securities (ABS), statistical methods

  • © 2008 Pageant Media Ltd

Don’t have access? Click here to request a demo

Alternatively, Call a member of the team to discuss membership options

US and Overseas: +1 646-931-9045

UK: 0207 139 1600

Log in using your username and password

Forgot your user name or password?
PreviousNext
Back to top

Explore our content to discover more relevant research

  • By topic
  • Across journals
  • From the experts
  • Monthly highlights
  • Special collections

In this issue

The Journal of Portfolio Management
Vol. 34, Issue 3
Spring 2008
  • Table of Contents
  • Index by author
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on The Journal of Portfolio Management.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
The Concept of Credit OAS in Valuation of MBS
(Your Name) has sent you a message from The Journal of Portfolio Management
(Your Name) thought you would like to see the The Journal of Portfolio Management web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
The Concept of Credit OAS in Valuation of MBS
Alexander Levin, Andrew Davidson
The Journal of Portfolio Management Apr 2008, 34 (3) 41-55; DOI: 10.3905/jpm.2008.706242

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Save To My Folders
Share
The Concept of Credit OAS in Valuation of MBS
Alexander Levin, Andrew Davidson
The Journal of Portfolio Management Apr 2008, 34 (3) 41-55; DOI: 10.3905/jpm.2008.706242
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Tweet Widget Facebook Like LinkedIn logo

Jump to section

  • Article
  • Info & Metrics
  • PDF (Subscribers Only)
  • PDF (Subscribers Only)

Similar Articles

Cited By...

  • Overlooked Market Risk Shocks: Prepayment Uncertainty and Option-Adjusted Spreads
  • A Fixed-Income Market View of Mortgage REIT Valuations
  • Google Scholar
LONDON
One London Wall, London, EC2Y 5EA
United Kingdom
+44 207 139 1600
 
NEW YORK
41 Madison Avenue, New York, NY 10010
USA
+1 646 931 9045
reply@pm.research.com
 

Stay Connected

  • Follow IIJ on LinkedIn
  • Follow IIJ on Twitter

MORE FROM PMR

  • News
  • Awards
  • Investment Guides
  • Videos
  • About PMR

INFORMATION FOR

  • Academics
  • Agents
  • Authors
  • Content Usage Terms

GET INVOLVED

  • Advertise
  • Publish
  • Article Licensing
  • Contact Us
  • Subscribe Now
  • Sign In
  • Update your profile
  • Give us your feedback

© 2023 With Intelligence Ltd | All Rights Reserved | ISSN: 0095-4918 | E-ISSN: 2168-8656

  • Site Map
  • Terms & Conditions
  • Privacy Policy
  • Cookies