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Optimal hedging with variational preferences under convex risk measures

Marcelo Righi ()

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Abstract: We expose a theoretical hedging optimization framework with variational preferences under convex risk measures. We explore a general dual representation for the composition between risk measures and utilities. We study the properties of the optimization problem as a convex and monotone map per se. We also derive results for optimality and indifference pricing conditions. We also explore particular examples inside our setup.

Date: 2024-07, Revised 2024-10
New Economics Papers: this item is included in nep-rmg
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Published in Quantitative Finance, 2024

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