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Fixed-point characterization of the original value function and verification of the constructed optimal portfolio

Develop a fixed-point argument to characterize the original infinite-horizon value function associated with the ratio-type periodic evaluation in the incomplete market model with stochastic factor Y, and provide a verification proof that the constructed portfolio process is optimal over the infinite horizon.

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Background

After reducing the infinite-horizon problem to an auxiliary one-period problem via dynamic programming, a fixed-point equation characterizing the value function arises. In stochastic factor models, the fixed point depends on the factor state y rather than being a scalar, which complicates both existence/uniqueness arguments and the verification of optimality.

The verification step must reconcile the duality arguments in an incomplete market with the concatenation of one-period solutions over an infinite sequence of evaluation times, ensuring admissibility and optimality of the resulting portfolio strategy.

References

Inspired by Tse and Zheng (2023), we first reformulate the infinite horizon optimization problem into an auxiliary one-period portfolio optimization problem based on dynamic programming principle, leading to two subsequent open questions: (1). The existence and the characterization of the optimal portfolio for the auxiliary problem; (2). The fixed point argument to characterize the original value function and the verification proof of the constructed optimal portfolio for the original problem over the infinite horizon.

Optimal portfolio under ratio-type periodic evaluation in incomplete markets with stochastic factors (2401.14672 - Wang et al., 26 Jan 2024) in Section 1, Introduction