Generalized Orlicz premia

Fuente: arXiv
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Autores principales: Aygün, Mücahit, Bellini, Fabio, Laeven, Roger J. A.
Formato: Preprint
Publicado: 2025
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author Aygün, Mücahit
Bellini, Fabio
Laeven, Roger J. A.
author_facet Aygün, Mücahit
Bellini, Fabio
Laeven, Roger J. A.
contents We introduce a generalized version of Orlicz premia, based on possibly non-convex loss functions. We show that this generalized definition covers a variety of relevant examples, such as the geometric mean and the expectiles, while at the same time retaining a number of relevant properties. We establish that cash-additivity leads to $L^p$-quantiles, extending a classical result on 'collapse to the mean' for convex Orlicz premia. We then focus on the geometrically convex case, discussing the dual representation of generalized Orlicz premia and comparing it with a multiplicative form of the standard dual representation for the convex case. Finally, we show that generalized Orlicz premia arise naturally as the only elicitable, positively homogeneous, monotone and normalized functionals.
format Preprint
id arxiv_https___arxiv_org_abs_2507_09181
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Generalized Orlicz premia
Aygün, Mücahit
Bellini, Fabio
Laeven, Roger J. A.
Risk Management
Probability
Statistics Theory
Mathematical Finance
We introduce a generalized version of Orlicz premia, based on possibly non-convex loss functions. We show that this generalized definition covers a variety of relevant examples, such as the geometric mean and the expectiles, while at the same time retaining a number of relevant properties. We establish that cash-additivity leads to $L^p$-quantiles, extending a classical result on 'collapse to the mean' for convex Orlicz premia. We then focus on the geometrically convex case, discussing the dual representation of generalized Orlicz premia and comparing it with a multiplicative form of the standard dual representation for the convex case. Finally, we show that generalized Orlicz premia arise naturally as the only elicitable, positively homogeneous, monotone and normalized functionals.
title Generalized Orlicz premia
topic Risk Management
Probability
Statistics Theory
Mathematical Finance
url https://arxiv.org/abs/2507.09181