Robust optimal investment and consumption strategies with portfolio constraints and stochastic environment
Len Patrick Dominic M. Garces, Yang Shen

TL;DR
This paper develops a comprehensive framework for optimal investment and consumption under model uncertainty, incorporating constraints and ambiguity aversion, and analyzes their effects through advanced stochastic control methods and numerical experiments.
Contribution
It introduces a robust control approach for constrained investment-consumption problems with model uncertainty, linking ambiguity aversion to optimal strategies and welfare loss.
Findings
Short-selling restrictions reduce utility loss under model uncertainty.
Consumption constraints' impact depends on risk aversion level.
Numerical results show significant effects of ambiguity aversion and constraints.
Abstract
We investigate a continuous-time investment-consumption problem with model uncertainty in a general diffusion-based market with random model coefficients. We assume that a power utility investor is ambiguity-averse, with the preference to robustness captured by the homothetic multiplier robust specification, and the investor's investment and consumption strategies are constrained to closed convex sets. To solve this constrained robust control problem, we employ the stochastic Hamilton-Jacobi-Bellman-Isaacs equations, backward stochastic differential equations, and bounded mean oscillation martingale theory. Furthermore, we show the investor incurs (non-negative) utility loss, i.e. the loss in welfare, if model uncertainty is ignored. When the model coefficients are deterministic, we establish formally the relationship between the investor's robustness preference and the robust optimal…
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Taxonomy
TopicsRisk and Portfolio Optimization · Economic theories and models · Capital Investment and Risk Analysis
