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On the interplay between distortion, mean value and Haezendonck–Goovaerts risk measures

Marc Goovaerts, Daniël Linders, Koen Van Weert and Fatih Tank

Insurance: Mathematics and Economics, 2012, vol. 51, issue 1, 10-18

Abstract: In the actuarial research, distortion, mean value and Haezendonck–Goovaerts risk measures are concepts that are usually treated separately. In this paper we indicate and characterize the relation between these different risk measures, as well as their relation to convex risk measures. While it is known that the mean value principle can be used to generate premium calculation principles, we will show how they also allow to generate solvency calculation principles. Moreover, we explain the role provided for the distortion risk measures as an extension of the Tail Value-at-Risk (TVaR) and Conditional Tail Expectation (CTE).

Keywords: Risk measurement; Haezendonck–Goovaerts risk measure; Distortion risk measure; Mean value risk measure; Solvency requirements (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:insuma:v:51:y:2012:i:1:p:10-18

DOI: 10.1016/j.insmatheco.2012.02.012

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

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