We characterize a class of fully coupled forward backward stochastic differential equations in terms of optimal maximal sub-solutions of BSDEs. We present the application thereof in utility optimization with random endowment under probability and discounting uncertainty. We provide some explicit examples and show how to quantify the costs of incompleteness when using utility indifference pricing.
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