a) Show that every coherent risk measure o: MR is a convex risk measure, that is g satisfies o(AL₁ + (1-X) L₂) ≤ Ag(L₁)+(1-X)g(L2), [0, 1], L₁, L₂ € M. b) Show that for positive-homogeneous risk measures convexity and coherence are equivalent. c) Show by means of a counterexample that without positive homogeneity the statement in b) is false.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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a) Show that every coherent risk measure o: M→ R is a convex risk measure, that is o
satisfies
o(AL₁ + (1-X) L₂) ≤ Ag(L₁) + (1-X)o(L₂), AE [0, 1], L₁, L2 € M.
b) Show that for positive-homogeneous risk measures convexity and coherence are equivalent.
c) Show by means of a counterexample that without positive homogeneity the statement in b)
is false.
Transcribed Image Text:a) Show that every coherent risk measure o: M→ R is a convex risk measure, that is o satisfies o(AL₁ + (1-X) L₂) ≤ Ag(L₁) + (1-X)o(L₂), AE [0, 1], L₁, L2 € M. b) Show that for positive-homogeneous risk measures convexity and coherence are equivalent. c) Show by means of a counterexample that without positive homogeneity the statement in b) is false.
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