Optimal Consumption and Investment Choice with Bounded Memory and Recursive Preferences in a Multi-Asset Setting

This paper studies an optimal consumption–investment problem in a multi-asset financial market where risky assets returns incorporate returns history. Preferences are modelled using Epstein–Zin recursive utility, allowing a separation between risk aversion and intertemporal substitution. Using the well-known martingale optimality principle and forward–backward stochastic differential equations (FBSDEs), we obtain explicit closed-form solutions for the optimal strategy and value function. A sensitivity analysis illustrates the dependence of optimal policies and value function on key parameters, including risk aversion, elasticity of intertemporal substitution (EIS), memory horizon, learning intensity, and wealth-history parameters. The findings provide new insights into the interaction between behavioural features and dynamic portfolio choice in a multi-asset setting.

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Publication Details

Journal
Risks
Published
2026-06-17
DOI
https://doi.org/10.3390/risks14060140
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimal Consumption and Investment Choice with Bounded Memory and Recursive Preferences in a Multi-Asset Setting

Marcel Ndengo, Wilfried Kuissi-Kamdem
Risks
Financial Markets and Investment Strategies
article

Optimal Consumption and Investment Choice with Bounded Memory and Recursive Preferences in a Multi-Asset Setting

Marcel Ndengo, Wilfried Kuissi-Kamdem
article en

Abstract

This paper studies an optimal consumption–investment problem in a multi-asset financial market where risky assets returns incorporate returns history. Preferences are modelled using Epstein–Zin recursive utility, allowing a separation between risk aversion and intertemporal substitution. Using the well-known martingale optimality principle and forward–backward stochastic differential equations (FBSDEs), we obtain explicit closed-form solutions for the optimal strategy and value function. A sensitivity analysis illustrates the dependence of optimal policies and value function on key parameters, including risk aversion, elasticity of intertemporal substitution (EIS), memory horizon, learning intensity, and wealth-history parameters. The findings provide new insights into the interaction between behavioural features and dynamic portfolio choice in a multi-asset setting.

RisksVol. 14(6)
University of Freiburg (DE), University of Kigali (RW), University of Rwanda (RW), African Institute for Mathematical Sciences Ghana (GH)
Albert-Ludwigs-Universität Freiburg
Openalex Percentile: Top 5%
Financial Markets and Investment Strategies
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