Optimal Investment for a Retirement Plan with Deferred Annuities

30 Pages Posted: 6 Nov 2019

See all articles by Iqbal Owadally

Iqbal Owadally

Cass Business School, City, University of London

Chul Jang

Nottingham University Business School; Hanyang University; Bayes Business School, City, University of London

Andrew Clare

City, University of London - Bayes Business School

Date Written: October 27, 2018

Abstract

We construct an optimal investment portfolio model with deferred annuities for an individual investor saving for retirement. The objective function consists of power utility in terms of secured retirement income from the deferred annuity purchases, as well as bequest from remaining wealth invested in equity, bond, and cash funds. The asset universe is governed by a vector autoregressive model incorporating the Nelson-Siegel term structure and equity returns. We use multi-stage stochastic programming to solve the optimization problem numerically. Our numerical results show that deferred annuity purchases are made continuously over the working lifetime of the investor, increasing particularly in the years before retirement. The investment strategy hedges price changes in deferred annuities, and bond holding and deferred annuity purchases increase when interest rates are high. Optimal investment and deferred annuity choices depend on realised and expected values of state variables. The optimal strategy is also compared with typical retirement plan strategies such as glide paths. Our results provide novel support for deferred annuities as a major source of retirement income.

Keywords: Stochastic Programming, Retirement Planning, Deferred Annuities

JEL Classification: C61, G11, G22

Suggested Citation

Owadally, Iqbal and Jang, Chul and Clare, Andrew D., Optimal Investment for a Retirement Plan with Deferred Annuities (October 27, 2018). Available at SSRN: https://ssrn.com/abstract=3454671 or http://dx.doi.org/10.2139/ssrn.3454671

Iqbal Owadally

Cass Business School, City, University of London ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

HOME PAGE: http://https://www.cass.city.ac.uk/faculties-and-research/experts/iqbal-owadally

Chul Jang (Contact Author)

Nottingham University Business School ( email )

Nottingham, NG8 1BB
United Kingdom

Hanyang University ( email )

College of Business and Economics
55 Sangrok-gu
Ansan, 15588
Korea, Republic of (South Korea)

Bayes Business School, City, University of London ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

Andrew D. Clare

City, University of London - Bayes Business School ( email )

106, Bunhill Row
London, EC1Y 8TZ
United Kingdom

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