Dynamic Portfolio Selection Under Ambiguity in the $$epsilon $$-Contaminated Binomial Model
Investors often need to look for an optimal portfolio acting under ambiguity, as they may not be able to single out a unique realworld probability measure. In this paper a discrete-time dynamic portfolio selection problem is studied, referring to an -contaminated binomial market model and assuming investors’ preferences are consistent with the Choquet expected utility theory.