This paper addresses an asset-liability management (ALM) framework for uncertain economic environments. By leveraging uncertainty theory and employing continuous-time uncertain differential equations driven by the Liu process to model asset and liability processes, we devise an optimal ALM strategy that achieves a balance between risky and risk-free investments. This strategy is formulated as an uncertain optimal control problem and solved analytically, yielding a closed-form solution. Our sensitivity analysis reveals that higher discount rates, interest rates, and stock appreciation rates encourage more risk-averse strategies, while higher liability appreciation rates lead to increased risk-taking under certain conditions. Additionally, greater risk aversion results in a preference for safer, low-risk investments, while lower risk aversion pushes companies toward more aggressive, high-risk assets.
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