Stress Testing Engineering: The Real Risk Measurement?

Dominique Guégan () and Bertrand K. Hassani ()
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Dominique Guégan: University Paris 1 Panthéon-Sorbonne et New York University Polytechnic School of Engineering
Bertrand K. Hassani: Université Paris 1 Panthéon-Sorbonne CES UMR 8174 and Grupo Santander

A chapter in Future Perspectives in Risk Models and Finance, 2015, pp 89-124 from Springer

Abstract: Abstract Stress testing is used to determine the stability or the resilience of a given financial institution by deliberately submitting the subject to intense and particularly adverse conditions which has not been considered a priori. This exercise does not imply that the entity’s failure is imminent, though its purpose is to address and prepare this potential failure. Consequently, as the focal point is a concept (Risk) the stress testing is the quintessence of risk management. In this chapter we focus on what may lead a bank to fail and how its resilience can be measured. Two families of triggers are analysed: the first stands in the impact of external (and/or extreme) events, the second one stands on the impacts of the choice of inadequate models for predictions or risks measurement; more precisely on models becoming inadequate with time because of not being sufficiently flexible to adapt themselves to dynamical changes. The first trigger needs to take into account fundamental macro-economic data or massive operational risks while the second trigger deals with the limitations of the quantitative models for forecasting, pricing, evaluating capital or managing the risks. It may be argued that if inside the banks-limitations, pitfalls and other drawbacks of models used were correctly identified, understood and handled, and if the associated products were correctly known, priced and insured, then the effects of the crisis may not have had so important impacts on the real economy. In other words, the appropriate model should be able to capture real risks (including in particular extreme events) at any point in time, or ultimately a model management strategy should be considered to switch from a model to another during extreme market conditions.

Keywords: Financial Institution; Risk Measure; Marginal Distribution; Credit Risk; Capital Requirement (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-319-07524-2_3

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