Credit Migration Risk Modelling

Journal of Credit Risk

32 Pages Posted: 29 Sep 2008 Last revised: 5 Jan 2010

See all articles by Andreas Andersson

Andreas Andersson

Zurich Cantonal Bank; ETH Zurich and University of Zurich

Paolo Vanini

University of Basel

Date Written: September 11, 2008

Abstract

We consider the modelling of credit migration risk and the pricing of migration derivatives. To construct a Point-in-Time (PIT) rating migration matrix as the underlying value for derivative pricing we show first that the Affine Markov Chain models is not sufficient to generate PIT migration matrices in both, an economic boom and contraction. We show that the introduction of rating direction and speed, which replace the ambiguous rating drift, and the use of a Regime Shifting Markov Mixture model both lead to migration matrices which fit well with Point-in-Time data. Our extended framework still provides an analytical pricing formula for CDS. We apply the model to price CDS before and during the current financial crisis. The results show a large underpricing in the CDS market prices compared to the theoretical prices before the financial crises stared.

Keywords: Credit Migration Risk, Point-In-Time, Migration Matrix, Regime Shifting Markov Mixture Model, Credit Dreivatives

JEL Classification: C51, G12, G13

Suggested Citation

Andersson, Andreas and Vanini, Paolo, Credit Migration Risk Modelling (September 11, 2008). Journal of Credit Risk, Available at SSRN: https://ssrn.com/abstract=1275202 or http://dx.doi.org/10.2139/ssrn.1275202

Andreas Andersson (Contact Author)

Zurich Cantonal Bank ( email )

Josefstrasse 222
Zurich CH-8010, 8005
Switzerland
+41442924694 (Phone)

ETH Zurich and University of Zurich ( email )

Zürichbergstrasse 18
8092 Zurich, CH-1015
Switzerland

Paolo Vanini

University of Basel ( email )

Petersplatz 1
Basel, CH-4003
Switzerland

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