EconPapers    
Economics at your fingertips  
 

Multinomial backtesting of distortion risk measures

Sören Bettels, Sojung Kim and Stefan Weber

Insurance: Mathematics and Economics, 2024, vol. 119, issue C, 130-145

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: Distortion risk measures; Backtesting; Multinomial tests; Solvency capital; Internal models (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167668724000933
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:insuma:v:119:y:2024:i:c:p:130-145

DOI: 10.1016/j.insmatheco.2024.08.003

Access Statistics for this article

Insurance: Mathematics and Economics is currently edited by R. Kaas, Hansjoerg Albrecher, M. J. Goovaerts and E. S. W. Shiu

More articles in Insurance: Mathematics and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:insuma:v:119:y:2024:i:c:p:130-145