This note deals with on-line computatin of learning of Pareto optimal insurance contracts. We account for the fact that the loss distribution often is unknown, unavailable, or intractable. Alternatively, the contracting parties could be inexperienced. In both cases losses must be simulated of...

Owners of stochastic assets can pool their endowments to smoothen and insure individual payoffs across outcomes and time. We explore, in such a setting, how contingent shadow prices on aggregate resources can be used for three purposes: first, to design mutual contracts for risk averse agents;...