Law-invariant functionals that collapse to the mean

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Bellini, F.; Koch-Medina, P.; Munari, C.; Svindland, G.: Law-invariant functionals that collapse to the mean. In: Insurance: Mathematics and Economics 98 (2021), S. 83-91. DOI: https://doi.org/10.1016/j.insmatheco.2021.03.002

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Sum total of downloads: 48




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Abstract: 
We discuss when law-invariant convex functionals “collapse to the mean”. More precisely, we show that, in a large class of spaces of random variables and under mild semicontinuity assumptions, the expectation functional is, up to an affine transformation, the only law-invariant convex functional that is linear along the direction of a nonconstant random variable with nonzero expectation. This extends results obtained in the literature in a bounded setting and under additional assumptions on the functionals. We illustrate the implications of our general results for pricing rules and risk measures. © 2021 The Author(s)
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Juristische Fakultät

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pos. country downloads
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1 image of flag of United States United States 17 35.42%
2 image of flag of Germany Germany 17 35.42%
3 image of flag of China China 6 12.50%
4 image of flag of Indonesia Indonesia 3 6.25%
5 image of flag of Taiwan Taiwan 1 2.08%
6 image of flag of Netherlands Netherlands 1 2.08%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 1 2.08%
8 image of flag of France France 1 2.08%
9 image of flag of Brazil Brazil 1 2.08%

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