Into the Great Unknown: Stress Testing with Weak Data

IMF Working Papers, December 1, 2010

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Stress testing has become the risk management tool du jour in the wake of the global financial crisis.
In countries with sufficiently good-quality information reported by financial institutions and high supervisory and regulatory standards, stress tests can be of significant value.
The proliferation of stress testing in underdeveloped financial systems with weak oversight regimes is fraught with uncertainties because it is unclear what the results actually represent and how they could be usefully applied.
The paper examines problems associated with stress tests using weak data and offers a potentially more useful alternative, the "breaking point" method.
The "breaking point" method requires close coordination with on-site supervision and should be complemented by other supervisory tools and qualitative information.
Excel spreadsheet templates of the stress tests presented in this paper are provided.

The usefulness of stress testing is highly conditional on the quality of reported information from financial institutions and on supervisory and regulatory standards.
In weak-data environments, standard stress-test outputs carry significant uncertainty regarding their interpretation and practical application.
Enhanced coordination with on-site supervision and incorporation of qualitative supervisory information improves the relevance of stress-testing exercises in weak-data contexts.

The paper proposes the "breaking point" method as a potentially more useful alternative to conventional stress tests when data are weak.
The method emphasizes:
- Close coordination with on-site supervision.
- Complementation by other supervisory tools.
- Use of qualitative information alongside quantitative exercises.

Excel spreadsheet templates of the stress tests discussed in the paper are provided.