Measurement and Estimation of Credit Migration Matrices

Til Schuermann () and Yusuf Jafry

Center for Financial Institutions Working Papers from Wharton School Center for Financial Institutions, University of Pennsylvania

Abstract: Credit migration matrices are cardinal inputs to many risk management applications. Their accurate estimation is therefore critical. We explore three approaches, cohort and two variants of duration—time homogeneous and non-homogeneous—and the resulting differences, both statistically through matrix norms and economically through credit portfolio and credit derivative models. We develop a testing procedure to assess statistically the differences between migration matrices using bootstrap techniques. The method can have substantial economic import: economic credit risk capital differences between economic regimes, recession vs. expansion, can be as large as difference implied by different estimation techniques. Ignoring the efficiency gain inherent in the duration methods by using the cohort method instead is more damaging that making a (possibly false) assumption of time-homogeneity.

Keywords: Credit risk; risk management; matrix norms; bootstrapping; credit derivatives (search for similar items in EconPapers)
JEL-codes: C15 C41 G21 G28 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-fin and nep-rmg
Date: 2003-04
View list of references View citations in EconPapers

Downloads: (external link)
http://fic.wharton.upenn.edu/fic/papers/03/0308.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:wop:pennin:03-08

Access Statistics for this paper

More papers in Center for Financial Institutions Working Papers from Wharton School Center for Financial Institutions, University of Pennsylvania
Contact information at EDIRC.
Series data maintained by Thomas Krichel ().