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Backtesting and Elicitability Of Risk measures

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If you have a question about this talk, please contact Mustapha Amrani.

Systemic Risk: Mathematical Modelling and Interdisciplinary Approaches

With the suggested change to the use of expected shortfall for market risk measurement in the trading book of a bank, there has been renewed interest in the problem of backtesting expected shortfall. At the same time it has been suggested that there is a fundamental problem with backtesting expected shortfall due to its “non-elicitability” (Gneiting). Elicitable risk measures are functionals of distributions that minimise expected scores calculated using so-called consistent scoring functions; examples are Value-at-Risk and the expectile risk measure. We examine different ways in which scoring functions may be used in practical backtesting. While scoring functions offer new tools for comparing the effectiveness of banks’ risk models, we concur with Acerbi and Szekely that they in no way undermine the potential use of expected shortfall as the main risk measure for the trading book.

This talk is part of the Isaac Newton Institute Seminar Series series.

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