activity
20172026
most citedRisk sharing under heterogeneous beliefs without convexity

1 citations · 2 across the 10 of their papers we have counts for

collaborators

12 papers

math.ST2026

Lambda-quantiles under the microscope

Fabio Bellini, Felix-Benedikt Liebrich

We study Lambda-quantiles, a generalisation of classical quantiles in which the constant probability level is replaced by a functional parameter $Λ\colon \mathbb{R} \t…

q-fin.RM2026

A unifying perspective on the collapse to the mean for law-invariant functionals

Felix-Benedikt Liebrich

We revisit the ``collapse to the mean'' phenomenon, which refers to mild structural conditions, such as local linearity, that force a law-invariant functional $\ph$ defined on fini…

q-fin.MF2025

Meyer risk measures

Christian Laudagé, Felix-Benedikt Liebrich

Risk measures summarize the risk profile of financial positions in a single metric, which allows their comparison and supports investment decisions. When they respect common stocha…

q-fin.RM2025

Eliciting reference measures of law-invariant functionals

Felix-Benedikt Liebrich, Ruodu Wang

Law-invariant functionals are central to risk management and assign identical values to random prospects sharing the same distribution under an atomless reference probability measu…

q-fin.MF2024

Multi-asset return risk measures

Christian Laudagé, Felix-Benedikt Liebrich, Jörn Sass

We revisit the recently introduced concept of return risk measures (RRMs) and extend it by incorporating risk management via multiple so-called eligible assets. The resulting new c…

q-fin.RM2021★ 1 cited

Risk sharing under heterogeneous beliefs without convexity

Felix-Benedikt Liebrich

We consider the problem of finding Pareto-optimal allocations of risk among finitely many agents. The associated individual risk measures are law invariant, but with respect to age…

q-fin.MF2021

Law-invariant functionals that collapse to the mean: Beyond convexity

Felix-Benedikt Liebrich, Cosimo Munari

We establish general "collapse to the mean" principles that provide conditions under which a law-invariant functional reduces to an expectation. In the convex setting, we retrieve…

math.PR2020★ 1 cited

Separability vs. robustness of Orlicz spaces: financial and economic perspectives

Felix-Benedikt Liebrich, Max Nendel

We investigate robust Orlicz spaces as a generalisation of robust -spaces. Two constructions of such spaces are distinguished, a top-down approach and a bottom-up approach. We…

q-fin.MF2020

Law-invariant functionals that collapse to the mean

Fabio Bellini, Pablo Koch-Medina, Cosimo Munari +1

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…

math.PR2020

Model Uncertainty: A Reverse Approach

Felix-Benedikt Liebrich, Marco Maggis, Gregor Svindland

Robust models in mathematical finance replace the classical single probability measure by a sufficiently rich set of probability measures on the future states of the world to captu…

q-fin.RM2018

Risk sharing for capital requirements with multidimensional security markets

Felix-Benedikt Liebrich, Gregor Svindland

We consider the risk sharing problem for capital requirements induced by capital adequacy tests and security markets. The agents involved in the sharing procedure may be heterogene…

q-fin.RM2017

Model Spaces for Risk Measures

Felix-Benedikt Liebrich, Gregor Svindland

We show how risk measures originally defined in a model free framework in terms of acceptance sets and reference assets imply a meaningful underlying probability structure. Hereaft…