Merton Problem with Irreversible Healthcare Investment and Mortality Risk

arXiv Math · · 2 min read · Natural Sciences

Read research and analysis on Merton Problem with Irreversible Healthcare Investment and Mortality Risk published by ICANEWS, a global research journal for emerging researchers.

Key Takeaways

  • A dynamic framework for optimal consumption, portfolio choice, and irreversible healthcare investment was developed.
  • Health depreciates with age and directly affects the agent's force of mortality.
  • Investment in healthcare reduces the agent's mortality risk.
  • Agents invest in healthcare when wealth exceeds a health-dependent optimal stopping boundary.

Why This Matters

The framework models individual financial and health decisions, specifically quantifying an optimal strategy for irreversible healthcare investment linked to mortality risk. This could inform understandings of how wealth and health interact in long-term financial planning.

Overview

This research presents a dynamic framework designed to analyze optimal consumption, portfolio selection, and irreversible healthcare investment, extending Merton's classical portfolio and consumption problem. The model integrates the concept of an agent undertaking healthcare investment at a continuous rate, where health capital depreciates with age and directly influences the agent's force of mortality. Investment in healthcare is thus posited to reduce mortality risk.

Research Context

The study builds upon Merton's portfolio and consumption problem by introducing an additional mechanism for healthcare investment. This investment is characterized as irreversible and occurs at a fixed continuous rate. A central aspect of the framework is the explicit modeling of health depreciation alongside aging and the direct link between health status and mortality risk. This dynamic interplay suggests that strategic healthcare investment can mitigate an individual's mortality risk.

Approach

The optimization problem is formulated as a stochastic control-stopping problem. Key state variables are the agent's wealth and health capital, operating within a random time horizon. To address this, the problem is transformed into its dual version, which manifests as a two-dimensional optimal stopping problem with interconnected dynamics. The analysis involves deriving the regularity of the optimal stopping value function. The related free boundary is characterized through a nonlinear integral equation, which is subsequently computed numerically. This computational step allows for a concrete determination of the conditions under which healthcare investment is optimal.

Findings

The framework indicates that an agent's decision to invest in healthcare is contingent upon their wealth exceeding a specific threshold. This threshold is defined by a health-dependent transformed version of the optimal stopping boundary. Numerical illustrations provided within the study depict these optimal strategies. The research also discusses certain financial implications arising from these optimal decisions.

Potential Applications

While the source does not explicitly detail applications, the framework models the joint determination of optimal consumption, portfolio choice, and irreversible healthcare investment, where health depreciates with age and affects mortality, and healthcare investment reduces mortality risk.

Key Limitations Mentioned by Researchers

No specific limitations are explicitly discussed by the researchers in the provided abstract.

Research Information

Institution
arXiv Math
Original Study
View Publication
Source
arXiv Math

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