Optimal derivatives design under dynamic risk measures

We develop a methodology to optimally design a financial issue to hedge non-tradable risk on financial markets. Economic agents assess their risk using monetary risk measure. The inf-convolution of convex risk measures is the key transformation in solving this optimization problem. When agents' risk measures only di#er from a risk aversion coe#cient, the optimal risk transfer is amazingly equal to a proportion of the initial risk.