A Practical Approach to Quantitative Model Risk Assessment
49 Pages Posted: 27 Apr 2020 Last revised: 1 Mar 2023
Date Written: March 31, 2020
Model-based decisions are highly sensitive to model risk that arises from the inadequacy of the adopted model. This paper reviews the existing literature on model risk assessment and shows how to use the theoretical results to develop a corresponding best practice. Specifically, we develop tools to assess the contribution to model risk of each of the assumptions that underpin the adopted model. Furthermore, we introduce new model risk measures and propose an intuitive formula for computing model risk capital. Some numerical examples and a case study illustrate our results.
Keywords: Value-at-Risk, Risk bounds, Model risk contribution, Model risk capital requirements, Parameter risk, Credibility factors, Generalized Pareto distribution
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