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Volume 4/Number 2, Summer 2010 Research Papers Reconciling credit correlations Andrew Chernih
University of New South Wales, Sydney, NSW 2052, Australia; email: andrew@andrewch.com Luc Henrard
Catholic University of Louvain, School of Management, Place des Doyens 1, B-1348 Louvain-la-Neuve, Belgium; email: luc.henrard@uclouvain.be Steven Vanduffel
Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium; email: steven.vanduffel@vub.ac.be The credit crisis has resulted in a new impetus for regulators in analyzing the framework for determining regulatory capital requirements; in particular, the assessment of credit risk will be challenged. Confronted with a lack of default statistics, it is common for industry practitioners to apply a financial approach known as Merton's model of the firm, which also underpins modern solvency standards such as Basel II and Solvency II. However, while Merton's theory is an academic beauty, its implementation does not make full use of available default statistics but, instead, relies on the concept of so-called asset correlations. We study the different estimates used for asset correlations that have appeared in the literature and analyze to what extent these estimates are in line with each other, with available default statistics and with our own findings. Our results are the same as most of those found in the literature but deviate from the results reported by some major software providers as well as from the Basel II and Solvency II figures. We offer several explanations to reconcile these differences and point to several other features that should not be overlooked when building credit portfolio models.
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