Modelling Scenario Analysis and Macro Stress-testing
Macro stress-testing has become an important tool to assess financial stability. This paper describes a tool kit for scenario analysis and macro stress-testing. It is based on a model which maps multivariate scenarios to banks' credit and interest rate risks by deterministic and stochastic simulations. Our approach is an extension of existing macro stress-testing models as it distinguishes between probability of default on the one hand and loss given default on the other and allows for separate models for domestic and foreign portfolios. Another contribution of the paper is that the stochastic simulations generate loss distributions which provide insight in the extreme losses and allow for changing correlations between risk factors in stress situations. The methodology is applied to the Dutch banking sector.
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Research Series Supervision (discontinued)
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- Jon Frye, 2000. "Depressing recoveries," Emerging Issues, Federal Reserve Bank of Chicago, issue Oct.
- Sorge, Marco & Virolainen, Kimmo, 2006. "A comparative analysis of macro stress-testing methodologies with application to Finland," Journal of Financial Stability, Elsevier, vol. 2(2), pages 113-151, June.
- Edward Altman & Andrea Resti & Andrea Sironi, 2004. "Default Recovery Rates in Credit Risk Modelling: A Review of the Literature and Empirical Evidence," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 33(2), pages 183-208, 07.
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- Marco Sorge, 2004. "Stress-testing financial systems: an overview of current methodologies," BIS Working Papers 165, Bank for International Settlements.
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