What Drives Mortgage Default Risk in Europe and the U.S.? /
We present an analysis of the sensitivity of household mortgage probabilities of default (PDs) and loss given default (LGDs) on unemployment rates, house price growth, interest rates, and other drivers. A structural micro-macro simulation model is used to that end. It is anchored in the balance shee...
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| Autres auteurs: | , , |
| Format: | Revue |
| Langue: | English |
| Publié: |
Washington, D.C. :
International Monetary Fund,
2022.
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| Collection: | IMF Working Papers; Working Paper
;No. 2022/065 |
| Sujets: | |
| Accès en ligne: | Full text available on IMF |
| Résumé: | We present an analysis of the sensitivity of household mortgage probabilities of default (PDs) and loss given default (LGDs) on unemployment rates, house price growth, interest rates, and other drivers. A structural micro-macro simulation model is used to that end. It is anchored in the balance sheets and income-expense flow data from about 95,000 households and 230,000 household members from 21 EU countries and the U.S. We present country-specific nonlinear regressions based on the structural model simulation-implied relation between PDs and LGDs and their drivers. These can be used for macro scenario-conditional forecasting, without requiring the conduct of the micro simulation. We also present a policy counterfactual analysis of the responsiveness of mortgage PDs, LGDs, and bank capitalization conditional on adverse scenarios related to the COVID-19 pandemic across all countries. The economics of debt moratoria and guarantees are discussed against the background of the model-based analysis. |
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| Description: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| Description matérielle: | 1 online resource (38 pages) |
| Format: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| Accès: | Electronic access restricted to authorized BRAC University faculty, staff and students |