Law-Invariant Functionals on General Spaces of Random Variables
DOI10.1137/20M1341258zbMath1465.62156arXiv1808.00821OpenAlexW3134575740WikidataQ114847129 ScholiaQ114847129MaRDI QIDQ4987718
Pablo Koch-Medina, Cosimo Munari, Fabio Bellini, Gregor Svindland
Publication date: 4 May 2021
Published in: SIAM Journal on Financial Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1808.00821
Schur convexitylaw invarianceextension resultsinfimal convolutionsKusuoka representationsdilation monotonicityquantile representations
Random fields (60G60) Random fields; image analysis (62M40) Duality theory for topological vector spaces (46A20) Applications of functional analysis in probability theory and statistics (46N30)
Related Items (3)
Cites Work
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- Dilatation monotonicity and convex order
- Comparative and qualitative robustness for law-invariant risk measures
- Comonotone Pareto optimal allocations for law invariant robust utilities on \(L^1\)
- Law-invariant risk measures: extension properties and qualitative robustness
- Short note on inf-convolution preserving the Fatou property
- Dual representations for systemic risk measures based on acceptance sets
- On comonotonicity of Pareto optimal risk sharing
- Optimal capital and risk allocations for law- and cash-invariant convex functions
- Non-additive measure and integral
- Convex measures of risk and trading constraints
- Model spaces for risk measures
- Fatou property, representations, and extensions of law-invariant risk measures on general Orlicz spaces
- Continuity properties of law-invariant (quasi-)convex risk functions on \(L^{\infty}\)
- The strong Fatou property of risk measures
- On closedness of law-invariant convex sets in rearrangement invariant spaces
- Is the inf-convolution of law-invariant preferences law-invariant?
- Efficient allocations under law-invariance: a unifying approach
- Pareto optimal allocations and optimal risk sharing for quasiconvex risk measures
- Minimal representation of insurance prices
- Dilatation monotone risk measures are law invariant
- RISK MEASURES: RATIONALITY AND DIVERSIFICATION
- Law invariant risk measures on L ∞ (ℝ d )
- Law invariant convex risk measures for portfolio vectors
- Law invariant risk measures have the Fatou property
- THE CANONICAL MODEL SPACE FOR LAW‐INVARIANT CONVEX RISK MEASURES IS L1
- SCHUR CONVEX FUNCTIONALS: FATOU PROPERTY AND REPRESENTATION
- On Kusuoka Representation of Law Invariant Risk Measures
- OPTIMAL RISK SHARING FOR LAW INVARIANT MONETARY UTILITY FUNCTIONS
- Orbits of L 1 -Functions Under Doubly Stochastic Transformation
- Spectral Orders, Uniform Integrability and Lebesgue's Dominated Convergence Theorem
- A REPRESENTATION RESULT FOR CONCAVE SCHUR CONCAVE FUNCTIONS
- Stochastic finance. An introduction in discrete time
- Stopping Times and Directed Processes
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