Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

In this lecture we will consider many new topics together.

We will start by introducing CreditMetrics™ by J.P. Morgan Chase.
CreditMetrics is a structural model of default which derives from Merton’s one. But there is a big difference: the default threshold is not given by liabilities, but computed through credit ratings.
Moreover, CreditMetrics not only takes into account the risk of default of a counterparty, but also the deterioration of its creditworthiness.

We will then have a flashback to lecture 2. Do you remember the F-IRB approach?
In that approach, a bank computes the PD of its counterparties and then plug this information into some specific risk-weight functions, in order to obtain the capital requirements.
Ok, now that we know something more about the computation of the probability of default, it is time to see how we can use this information to compute the C-Var, RWA and capital requirements.

Finally, just to have an idea of how an A-IRB model looks like, we will briefly discuss Credit Risk Plus ©, introduced in 1997 by Credit Suisse. This is a rather powerful tool, not belonging to the class of structural models. We will try to understand its very basic features.

This lecture contains:

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