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Model risk management: Limits and future of Bayesian approaches

  • J. P. Florens
  • , C. Gourieroux
  • , A. Monfort
  • Toulouse School of Economics
  • University of Toronto
  • ENSAE
  • CREST

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This paper discusses the use of Bayesian approaches when the models are misspecified (model risk). In particular we explore the limits and future of Bayesian approaches in order to provide answers to the following questions recently asked by the prudential supervision for Finance/Insurance : How to measure model risk? How to use in a coherent way the different misspecified models (as rating models) usually employed within and between financial institutions.

Original languageEnglish
Pages (from-to)1-26
Number of pages26
JournalAnnals of Economics and Statistics
Issue number136
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes

Keywords

  • Bayesian Approach
  • Model Choice
  • Model Risk
  • Validation

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