Multinomial backtesting of distortion risk measures

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Sören Bettels
  • Sojung Kim
  • Stefan Weber
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Details

Original languageEnglish
Pages (from-to)130-145
Number of pages16
JournalInsurance: Mathematics and Economics
Volume119
Early online date26 Aug 2024
Publication statusPublished - Nov 2024

Abstract

We extend the scope of risk measures for which backtesting methods are available by proposing a new approach for general distortion risk measures. The method relies on a stratification and randomization of risk levels. We illustrate the performance of our backtest in numerical case studies.

Keywords

    Backtesting, Distortion risk measures, Internal models, Multinomial tests, Solvency capital

ASJC Scopus subject areas

Cite this

Multinomial backtesting of distortion risk measures. / Bettels, Sören; Kim, Sojung; Weber, Stefan.
In: Insurance: Mathematics and Economics, Vol. 119, 11.2024, p. 130-145.

Research output: Contribution to journalArticleResearchpeer review

Bettels S, Kim S, Weber S. Multinomial backtesting of distortion risk measures. Insurance: Mathematics and Economics. 2024 Nov;119:130-145. Epub 2024 Aug 26. doi: 10.1016/j.insmatheco.2024.08.003
Bettels, Sören ; Kim, Sojung ; Weber, Stefan. / Multinomial backtesting of distortion risk measures. In: Insurance: Mathematics and Economics. 2024 ; Vol. 119. pp. 130-145.
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