Optimal Portfolio Choice with Comfortable Consumption

53 Pages Posted: 30 Sep 2024

See all articles by Tao Pang

Tao Pang

North Carolina State University

Dejian Tian

China University of Mining and Technology (CUMT)

Weidong Tian

University of North Carolina (UNC) at Charlotte

Date Written: August 26, 2024

Abstract

In this paper we investigate a Merton-type portfolio optimization problem with a minimum comfortable consumption constraint, utilizing a stochastic control approach. By translating the Hamilton-Jacobi-Bellman (HJB) equations into second-order ordinary differential equations (ODEs) through a novel method, we precisely characterize the set of candidate value functions. We then identify the optimal consumption rate, investment strategy and the value function explicitly by extending the recent stochastic perturbation method presented in Herdegen, Hobson and Jerome (2021). This approach can be applied to derive explicit solutions for other portfolio choice problems under constraints, with detailed studies of the corresponding HJB equations. In addition, we have extended the model when inflation is considered. We also discuss some applications, such as retirement funds, pension funds, endowment portfolios and the AK model for economic growth.

Keywords: Portfolio optimization, Minimum consumption, CRRA utility, Fenchel-Legendre transformation, Stochastic perturbation

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JEL Classification: G01, G12, G14, G20

Suggested Citation

Pang, Tao and Tian, Dejian and Tian, Weidong, Optimal Portfolio Choice with Comfortable Consumption (August 26, 2024). Available at SSRN: https://ssrn.com/abstract=4965211 or http://dx.doi.org/10.2139/ssrn.4965211

Tao Pang (Contact Author)

North Carolina State University ( email )

Hillsborough Street
Raleigh, NC 27695
United States

HOME PAGE: http://tpang.math.ncsu.edu/

Dejian Tian

China University of Mining and Technology (CUMT) ( email )

Weidong Tian

University of North Carolina (UNC) at Charlotte ( email )

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