Maximizing the Utility of Consumption with Reversible Annuities

42 Pages Posted: 30 Oct 2010

See all articles by Ting Wang

Ting Wang

University of Michigan at Ann Arbor - Department of Mathematics

V.R. Young

University of Michigan at Ann Arbor - Department of Mathematics

Date Written: September 30, 2010

Abstract

The purpose of this paper is to reveal the relation between the reversibility of annuities and retirees' reluctance to annuitize. To this end, we assume the existence of reversible annuities, whose surrender charge is a proportion of their purchase value. We model a retiree as a utility-maximizing economic agent who can invest in a financial market with a risky and a riskless asset and who can purchase or surrender reversible annuities. We define the wealth of an individual as the total value of her risky and riskless assets, which is required to be non-negative during her lifetime. We solve this incomplete market utility maximization problem via duality arguments and obtain semi-analytical solutions. We find that the optimal annuitization strategy depends on the size of proportional surrender charge, with lower proportional surrender charges leading to more annuitization. We also find that full annuitization is optimal when there is no surrender charge or when the retiree is very risk averse. Surprisingly, we find that in the case for which the proportional surrender charge is larger than a critical value, an individual behaves as if annuities are not reversible at all. Numerical examples are given to illustrate our results.

Keywords: Reversible Annuities, Utility Maximization, Retirement, Optimal Investment, Stochastic Control, Free-Boundary Problem

Suggested Citation

Wang, Ting and Young, Virginia R., Maximizing the Utility of Consumption with Reversible Annuities (September 30, 2010). Available at SSRN: https://ssrn.com/abstract=1697422 or http://dx.doi.org/10.2139/ssrn.1697422

Ting Wang (Contact Author)

University of Michigan at Ann Arbor - Department of Mathematics ( email )

2074 East Hall
530 Church Street
Ann Arbor, MI 48109-1043
United States

Virginia R. Young

University of Michigan at Ann Arbor - Department of Mathematics ( email )

2074 East Hall
530 Church Street
Ann Arbor, MI 48109-1043
United States
734-764-7227 (Phone)

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
107
Abstract Views
1,388
Rank
543,687
PlumX Metrics