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  • 14 - Statistical Decisioning Tools for Model Risk Management

  • Edited by David Lynch, Federal Reserve Board of Governors, Iftekhar Hasan, Fordham University Graduate Schools of Business, Akhtar Siddique, Office of the Comptroller of the Currency
  • Book:
    Validation of Risk Management Models for Financial Institutions
    Published online:
    02 March 2023
    Print publication:
    09 March 2023, pp 359-378

  • Summary

    Supervisory applications are rife with examples where models are used and consequently require appropriate validation. This chapter compares and contrasts the notions of model risk and model uncertainty as they relate to both model choice and validation strategy. The chapter uses a decision-theoretic architecture (cf. ch. 7 of Optimal Statistical Decisions by M. DeGroot, 1970) and advances a thesis of how risk model validation can be actuated via utility optimization. An empirical exercise where the aforementioned themes conclude the chapter using a Home Mortgage Disclosure Act (HMDA) data set.