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arxiv: 2208.07694 · v1 · pith:LJHUMOCNnew · submitted 2022-07-25 · 💱 q-fin.RM · math.PR

Quasi-Logconvex Measures of Risk

classification 💱 q-fin.RM math.PR
keywords measuresriskquasi-logconvexclassgeneralizequasi-convexrepresentationacceptance
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This paper introduces and fully characterizes the novel class of quasi-logconvex measures of risk, to stand on equal footing with the rich class of quasi-convex measures of risk. Quasi-logconvex risk measures naturally generalize logconvex return risk measures, just like quasi-convex risk measures generalize convex monetary risk measures. We establish their dual representation and analyze their taxonomy in a few (sub)classification results. Furthermore, we characterize quasi-logconvex risk measures in terms of properties of families of acceptance sets and provide their law-invariant representation. Examples and applications to portfolio choice and capital allocation are also discussed.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Geometrically convex return risk measures on AM-algebras

    q-fin.MF 2026-06 unverdicted novelty 6.0

    Extends return risk measures to AM-algebras, introducing systemic and vector-valued RRMs with finiteness, continuity, and dual/aggregation representations.