Building up time-consistency for risk measures and dynamic optimization ?
We give a framework for stochastic optimization problems and dynamic risk measures. We provide common sets of assumptions that lead to time-consistency for both. Main assumptions are decomposability, commutation and monotonicity of aggregators. We give examples of applications considering non-additive costs.
time-consistency dynamic risk measures dynamic programming