Optimal decision-making for consumption, investment, housing, and life insurance purchase in a couple with dependent mortality

Abstract In this article, we study an optimization problem for a couple including two breadwinners with uncertain life times. Both breadwinners need to choose the optimal strategies for consumption, investment, housing, and life insurance purchasing to maximize the utility. In this article, the prices of housing assets and investment risky assets are assumed to be correlated. These two breadwinners are considered to have dependent mortality rates to include the breaking heart effect. The method of copula functions is used to construct the joint survival functions of two breadwinners. The analytical solutions of optimal strategies can be achieved, and numerical results are demonstrated.

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Publication Details

Journal
Annals of Actuarial Science
Published
2025-03-31
DOI
https://doi.org/10.1017/s1748499525000028
Citations
2
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
11.18
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article

Optimal decision-making for consumption, investment, housing, and life insurance purchase in a couple with dependent mortality

Jiaqin Wei, Ning Wang, Jinhui Zhang
2 citations
Annals of Actuarial Science
Insurance, Mortality, Demography, Risk Management
11.18
article

Optimal decision-making for consumption, investment, housing, and life insurance purchase in a couple with dependent mortality

Jiaqin Wei, Ning Wang, Jinhui Zhang
article en
2 citations

Abstract

Abstract In this article, we study an optimization problem for a couple including two breadwinners with uncertain life times. Both breadwinners need to choose the optimal strategies for consumption, investment, housing, and life insurance purchasing to maximize the utility. In this article, the prices of housing assets and investment risky assets are assumed to be correlated. These two breadwinners are considered to have dependent mortality rates to include the breaking heart effect. The method of copula functions is used to construct the joint survival functions of two breadwinners. The analytical solutions of optimal strategies can be achieved, and numerical results are demonstrated.

Annals of Actuarial ScienceVol. 19(3)
Australian National University (AU), East China Normal University (CN), Macquarie University (AU)
Openalex Percentile: Top 3%
Insurance, Mortality, Demography, Risk Management
11.18
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