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Wealth, prevention, and longevity: Integrating health into portfolio decisions

Author

Listed:
  • Giovanna Apicella

    (University of Udine, Department of Economics and Statistics)

  • Luca Grosset

    (University of Padova, Department of Mathematics “Tullio Levi-Civita”)

  • Rosario Maggistro

    (University of Trieste, Department of Economics, Business, Mathematics and Statistics “Bruno de Finetti”)

  • Elena Sartori

    (University of Padova, Department of Mathematics “Tullio Levi-Civita”)

Abstract

This paper presents a novel framework for integrating preventive health expenditures into a lifetime portfolio selection model under uncertain lifetimes. Building on financial portfolio optimization and actuarial mortality modeling, we examine how health investments influence individual longevity and financial decisions. In our model, age at death is treated as a random variable, and individuals allocate a fraction of their wealth to prevention in order to reduce mortality risk and extend life expectancy. This endogenous link between health spending and survival allows us to explore the dynamic interplay between wealth accumulation, longevity, and health-related behavior over the life cycle. Through numerical simulations, we illustrate how optimal prevention strategies vary systematically by gender, age, and country-specific mortality profiles. The results highlight how personal characteristics and demographic factors shape the trade-offs between consumption, investment, and health. Our findings offer valuable insights for both individual financial planning and the design of public health policies in an era of increasing longevity and growing economic-health interdependence.

Suggested Citation

  • Giovanna Apicella & Luca Grosset & Rosario Maggistro & Elena Sartori, 2026. "Wealth, prevention, and longevity: Integrating health into portfolio decisions," Journal of Evolutionary Economics, Springer, vol. 36(1), pages 1-33, April.
  • Handle: RePEc:spr:joevec:v:36:y:2026:i:1:d:10.1007_s00191-026-00948-7
    DOI: 10.1007/s00191-026-00948-7
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    References listed on IDEAS

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    1. La Torre, Davide & Malik, Tufail & Marsiglio, Simone, 2020. "Optimal control of prevention and treatment in a basic macroeconomic–epidemiological model," Mathematical Social Sciences, Elsevier, vol. 108(C), pages 100-108.
    2. Carl-Johan Dalgaard & Holger Strulik, 2014. "Optimal Aging And Death: Understanding The Preston Curve," Journal of the European Economic Association, European Economic Association, vol. 12(3), pages 672-701, June.
    3. Michael J. Brennan & Yihong Xia, 2002. "Dynamic Asset Allocation under Inflation," Journal of Finance, American Finance Association, vol. 57(3), pages 1201-1238, June.
    4. Lijun Bo & Agostino Capponi, 2016. "Optimal Investment In Credit Derivatives Portfolio Under Contagion Risk," Mathematical Finance, Wiley Blackwell, vol. 26(4), pages 785-834, October.
    5. Mark Gersovitz & Jeffrey S. Hammer, 2004. "The Economical Control of Infectious Diseases," Economic Journal, Royal Economic Society, vol. 114(492), pages 1-27, January.
    6. Ehrlich, Isaac & Chuma, Hiroyuki, 1990. "A Model of the Demand for Longevity and the Value of Life Extension," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 761-782, August.
    7. Goldman Steven Marc & Lightwood James, 2002. "Cost Optimization in the SIS Model of Infectious Disease with Treatment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 2(1), pages 1-24, April.
    8. Kim, Tong Suk & Omberg, Edward, 1996. "Dynamic Nonmyopic Portfolio Behavior," The Review of Financial Studies, Society for Financial Studies, vol. 9(1), pages 141-161.
    9. Guiyuan Ma & Song-Ping Zhu & Boda Kang, 2020. "A Numerical Solution of Optimal Portfolio Selection Problem with General Utility Functions," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 957-981, March.
    10. Guiyuan Ma & Song-Ping Zhu, 2022. "Revisiting the Merton Problem: from HARA to CARA Utility," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 651-686, February.
    11. Giorgio Ferrari & Shihao Zhu, 2022. "On a Merton Problem with Irreversible Healthcare Investment," Papers 2212.05317, arXiv.org, revised Dec 2023.
    12. Rosario Maggistro & Mario Marino & Antonio Martire, 2025. "A dynamic game approach for optimal consumption, investment and life insurance problem," Annals of Operations Research, Springer, vol. 346(2), pages 1377-1398, March.
    13. La Torre, Davide & Liuzzi, Danilo & Marsiglio, Simone, 2021. "Epidemics and macroeconomic outcomes: Social distancing intensity and duration," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    14. Huang, Huaxiong & Milevsky, Moshe A. & Salisbury, Thomas S., 2012. "Optimal retirement consumption with a stochastic force of mortality," Insurance: Mathematics and Economics, Elsevier, vol. 51(2), pages 282-291.
    15. Maria Carannante & Valeria D’amato & Steven Haberman & Massimiliano Menzietti, 2024. "Frailty-based mortality models and reserving for longevity risk," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(2), pages 320-339, April.
    16. Goenka, Aditya & Liu, Lin & Nguyen, Manh-Hung, 2014. "Infectious diseases and economic growth," Journal of Mathematical Economics, Elsevier, vol. 50(C), pages 34-53.
    17. Strulik, Holger & Grossmann, Volker, 2024. "The economics of aging with infectious and chronic diseases," Economics & Human Biology, Elsevier, vol. 52(C).
    18. Annamaria Olivieri & Ermanno Pitacco, 2011. "Introduction to Insurance Mathematics," Springer Books, Springer, number 978-3-642-16029-5, October.
    19. Bolin, Kristian & Caputo, Michael R., 2020. "Consumption and investment demand when health evolves stochastically," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    20. Jun Liu, 2007. "Portfolio Selection in Stochastic Environments," The Review of Financial Studies, Society for Financial Studies, vol. 20(1), pages 1-39, January.
    21. Robert E. Hall, 2010. "Forward-Looking Decision Making: Dynamic Programming Models Applied to Health, Risk, Employment, and Financial Stability," Economics Books, Princeton University Press, edition 1, number 9220, December.
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    Keywords

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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