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Entropy Coherent and Entropy Convex Measures of Risk - Eurandom

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6.1 <strong>Risk</strong> Sharing<br />

◮ Suppose that there are two economic agents A <strong>and</strong> B measuring risk using<br />

a general entropy convex measure <strong>of</strong> risk ρ A <strong>and</strong> ρ B with γ A , γ B ∈ R + .<br />

◮ Let ¯ρ = −ρ, ēγ,Q = −eγ,Q <strong>and</strong> ¯c = −c.<br />

◮ Suppose that A owns a financial pay<strong>of</strong>f X A <strong>and</strong> B owns a financial pay<strong>of</strong>f<br />

X B .<br />

◮ We solve explicitly the problem <strong>of</strong> optimal risk sharing given by<br />

R A,B (X A ,X B ) = sup<br />

F ∈L∞ {¯ρ A (X A − F + Π F ) + ¯ρ B (X B + F − Π F )}<br />

= sup<br />

¯F ∈L∞ {¯ρ A (X A + X B − ¯ F) + ¯ρ B ( ¯ F)} =: ¯ρ A ¯ρ B (X A + X B ),<br />

where Π F is the agreed price <strong>of</strong> the financial derivative (risk transfer) F<br />

<strong>and</strong> where we have set ¯F := F + X B .<br />

◮ In particular, under technical conditions (see paper), the optimal risk<br />

sharing is attained in the derivative F ∗ = γB<br />

γ A +γ B X A − γA<br />

γ A +γ B X B .<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 37/40

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