Estimating Markov Transition Matrices Using Proportions Data : An Application to Credit Risk /
This paper outlines a way to estimate transition matrices for use in credit risk modeling with a decades-old methodology that uses aggregate proportions data. This methodology is ideal for credit-risk applications where there is a paucity of data on changes in credit quality, especially at an aggreg...
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| Fformat: | Cylchgrawn |
| Iaith: | English |
| Cyhoeddwyd: |
Washington, D.C. :
International Monetary Fund,
2005.
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| Cyfres: | IMF Working Papers; Working Paper ;
No. 2005/219 |
| Mynediad Ar-lein: | Full text available on IMF |
| Crynodeb: | This paper outlines a way to estimate transition matrices for use in credit risk modeling with a decades-old methodology that uses aggregate proportions data. This methodology is ideal for credit-risk applications where there is a paucity of data on changes in credit quality, especially at an aggregate level. Using a generalized least squares variant of the methodology, this paper provides estimates of transition matrices for the United States using both nonperforming loan data and interest coverage data. The methodology can be employed to condition the matrices on economic fundamentals and provide separate transition matrices for expansions and contractions, for example. The transition matrices can also be used as an input into other credit-risk models that use transition matrices as a basic building block. |
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| Disgrifiad o'r Eitem: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| Disgrifiad Corfforoll: | 1 online resource (27 pages) |
| Fformat: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| Mynediad: | Electronic access restricted to authorized BRAC University faculty, staff and students |