Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-r6qrq Total loading time: 0 Render date: 2024-04-28T13:30:12.128Z Has data issue: false hasContentIssue false

14 - Credit Risk II: Multiscale Intensity-Based Models

Published online by Cambridge University Press:  07 October 2011

Jean-Pierre Fouque
Affiliation:
University of California, Santa Barbara
George Papanicolaou
Affiliation:
Stanford University, California
Ronnie Sircar
Affiliation:
Princeton University, New Jersey
Knut Sølna
Affiliation:
University of California, Irvine
Get access

Summary

As discussed in Section 13.1, the Black–Cox structural model with constant volatility predicts essentially zero-yield spreads at short maturities, because defaults are “predictable” in the sense that we can see them coming. One way to remedy this, as detailed in Chapter 13, was with multiscale stochastic volatility. More traditionally, in the credit risk literature, this observation serves as a motivation for intensity-based (or reduced-form) models in which the default occurs at the jump of an exogenous Poisson-type process. The element of surprise means that, even at short maturities, credit spreads are significant since the default time is no longer announced as in structural models. In addition to the references for background on credit modeling given in the Notes at the end of Chapter 1, we also refer to Bielecki and Rutkowski (2004) for more details on reduced-form models.

The multiname material presented in Section 14.3 is from Fouque et al. (2009) and the material in Section 14.4 with additional grouping structure, is from Papageorgiou and Sircar (2009).

Background on Stochastic Intensity Models

We start with a brief review of the basics of Poisson and Cox processes.

Poisson Process

We begin by recalling the defining properties of a Poisson process (Nt)t≥0 with parameter λ > 0:

  1. (i) It starts at zero: N0 = 0.

  2. (ii) It is a counting process, meaning that it takes successively the values 0,1,2, ….

  3. (iii) It has independent increments.

  4. (iv) […]

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×