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Consider robust utility maximization with an irreversible consumption habit, where an agent concerned about model ambiguity and must simultaneously contend with a disutility (i.e., an adjustment cost) due to a consumption increase. While the optimization is a robust analog of singular control problems over a class of consumption-investment strategies and a set of probability measures, it is a new formulation that involves nondominated probability measures of the diffusion process for the underlying assets in addition to singular controls with an adjustment cost. This paper provides a connection between the singular controls in the optimization and the optimal G-stopping times in a G-expectation space, using a duality theory. This connection enables to derive the robust consumption strategy as a running maximum of the stochastic boundary, which is characterized by a free boundary arising from the optimal G-stopping times. The duality, which relies on arguments based on reflected G-BSDEs, is achieved by verifying the first-order optimality conditions for the singular control, the budget constraint equation for the robust strategies, and the worst-case realization under the nondominated measures.
Park et al. (Fri,) studied this question.
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