Convex risk measures are best known on L∞. In this paper we argue that Lp, for p ∈ [1,∞), is a more appropriate model space. We provide a comprehensive but concise exposure of the topological properties of con-vex risk measures on Lp. Our main result is the complete characterization of the extension and restriction operations of convex risk measures from and to L ∞ and Lp, respectively. In particular, it turns out that there is a one-to-one correspondence between law-invariant convex risk measures on L ∞ and L1. Key words: convex risk measures, extension and restriction opera-tions, law-invariant convex functions
We introduce a generalised subgradient for law-invariant closed convex risk measures on L1 and estab...
The numerical representation of convex risk measures beyond essentially bounded financial ...
The numerical representation of convex risk measures beyond essentially bounded financial ...
In this paper we establish a one-to-one correspondence between law-invariant convex risk measures on...
Much of the recent literature on risk measures is concerned with essentially bounded risks in L ∞. I...
We provide a representation theorem for convex risk measures defined on L^{p}(Ω,F,P) spaces, 1≤p≤+∞,...
As a generalization of a result by Kusuoka (2001), we provide the representation of law invariant co...
The numerical representation of convex risk measures beyond essentially bounded financial positions...
Abstract. The numerical representation of convex risk measures beyond essentially bounded financial ...
Abstract We study continuity properties of law-invariant (quasi-)convex functions f: L∞(,F, P) → (−...
We introduce a generalised subgradient for law-invariant closed convex risk measures on L1 and estab...
In the present contribution, we characterise law determined convex risk measures that have convex l...
S. Kusuoka [K 01, Theorem 4] gave an interesting dual characterizationof law invariant coherent risk...
This paper provides some useful results for convex risk measures. In fact, we consider convex functi...
S. Kusuoka [K 01, Theorem 4] gave an interesting dual characteriza-tion of law invariant coherent ri...
We introduce a generalised subgradient for law-invariant closed convex risk measures on L1 and estab...
The numerical representation of convex risk measures beyond essentially bounded financial ...
The numerical representation of convex risk measures beyond essentially bounded financial ...
In this paper we establish a one-to-one correspondence between law-invariant convex risk measures on...
Much of the recent literature on risk measures is concerned with essentially bounded risks in L ∞. I...
We provide a representation theorem for convex risk measures defined on L^{p}(Ω,F,P) spaces, 1≤p≤+∞,...
As a generalization of a result by Kusuoka (2001), we provide the representation of law invariant co...
The numerical representation of convex risk measures beyond essentially bounded financial positions...
Abstract. The numerical representation of convex risk measures beyond essentially bounded financial ...
Abstract We study continuity properties of law-invariant (quasi-)convex functions f: L∞(,F, P) → (−...
We introduce a generalised subgradient for law-invariant closed convex risk measures on L1 and estab...
In the present contribution, we characterise law determined convex risk measures that have convex l...
S. Kusuoka [K 01, Theorem 4] gave an interesting dual characterizationof law invariant coherent risk...
This paper provides some useful results for convex risk measures. In fact, we consider convex functi...
S. Kusuoka [K 01, Theorem 4] gave an interesting dual characteriza-tion of law invariant coherent ri...
We introduce a generalised subgradient for law-invariant closed convex risk measures on L1 and estab...
The numerical representation of convex risk measures beyond essentially bounded financial ...
The numerical representation of convex risk measures beyond essentially bounded financial ...