Robust Forward Investment and Consumption under Drift and Volatility Uncertainties: A Randomization Approach

This paper studies robust forward investment and consumption preferences and optimal strategies for a risk-averse and ambiguity-averse agent in an incomplete financial market with drift and volatility uncertainties. We focus on nonzero volatility and constant relative risk aversion forward preferences. Given the nonconvexity of the Hamiltonian with respect to uncertain volatilities, we first construct robust randomized forward preferences through endogenous randomization in an auxiliary market. Therein, we derive the corresponding optimal and robust investment and consumption strategies. Furthermore, we show that such forward preferences and strategies, developed in the auxiliary market, remain optimal and robust in the physical market, offering a comprehensive analysis for forward investment and consumption under model uncertainty.

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Publication Details

Journal
SIAM Journal on Financial Mathematics
Published
2025-11-10
DOI
https://doi.org/10.1137/24m1699140
Primary Topic
Risk and Portfolio Optimization
Type
article
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article

Robust Forward Investment and Consumption under Drift and Volatility Uncertainties: A Randomization Approach

Gechun Liang, Wing Fung Chong
SIAM Journal on Financial Mathematics
Risk and Portfolio Optimization
article

Robust Forward Investment and Consumption under Drift and Volatility Uncertainties: A Randomization Approach

Gechun Liang, Wing Fung Chong
article en

Abstract

This paper studies robust forward investment and consumption preferences and optimal strategies for a risk-averse and ambiguity-averse agent in an incomplete financial market with drift and volatility uncertainties. We focus on nonzero volatility and constant relative risk aversion forward preferences. Given the nonconvexity of the Hamiltonian with respect to uncertain volatilities, we first construct robust randomized forward preferences through endogenous randomization in an auxiliary market. Therein, we derive the corresponding optimal and robust investment and consumption strategies. Furthermore, we show that such forward preferences and strategies, developed in the auxiliary market, remain optimal and robust in the physical market, offering a comprehensive analysis for forward investment and consumption under model uncertainty.

SIAM Journal on Financial MathematicsVol. 16(4)
University of Warwick (GB), University of Hong Kong (HK)
Openalex Percentile: Top 61%
Risk and Portfolio Optimization
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