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Entropy Coherent and Entropy Convex Measures of Risk - Eurandom

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Duality Results [2]<br />

Theorem<br />

Suppose that ρ is γ-entropy convex with penalty function c. Then:<br />

(i) The dual conjugate <strong>of</strong> ρ, is given by the largest convex <strong>and</strong><br />

lower-semicontinuous function α being dominated by<br />

infQ∈Q{γH(¯P|Q) + c(Q)}.<br />

(ii) If c is convex <strong>and</strong> lower-semicontinuous, then α is the largest<br />

lower-semicontinuous function being dominated by<br />

infQ∈Q{γH( ¯ P|Q) + c(Q)}.<br />

(iii) If c is convex <strong>and</strong> lower-semicontinuous, <strong>and</strong> satisfies additional<br />

integrability conditions (see paper), then the conjugate dual<br />

α( ¯ P) = min<br />

Q∈Q {γH(¯ P|Q) + c(Q)}.<br />

<strong>Entropy</strong> <strong>Coherent</strong> <strong>and</strong> <strong>Entropy</strong> <strong>Convex</strong> <strong>Measures</strong> <strong>of</strong> <strong>Risk</strong> Advances in Financial Mathematics, Eur<strong>and</strong>om, Eindhoven 34/40

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