City Research Online

Glide paths for a retirement plan with deferred annuities

Jang, C., Clare, A. ORCID: 0000-0002-4180-6778 & Owadally, I. ORCID: 0000-0002-0830-3554 (2022). Glide paths for a retirement plan with deferred annuities. Journal of Pension Economics and Finance, 21(4), pp. 565-581. doi: 10.1017/S1474747221000251

Abstract

We construct investment glide paths for a retirement plan using both traditional asset classes and deferred annuities. The glide paths are approximated by averaging the asset proportions of stochastic optimal investment solutions. The objective function consists of power utility in terms of secured retirement income from purchased deferred annuities, as well as a bequest that can be withdrawn before retirement. Compared with conventional glide paths and investment strategies, our deferred annuity-enhanced glide paths provide the investor with higher welfare gains, more efficient investment portfolios, and more responsive retirement income patterns and bequest levels to different fee structures and personal preferences.

Publication Type: Article
Additional Information: This article is published in a revised form in Journal of Pension Economics and Finance https://doi.org/10.1017/S1474747221000251. This version is available under a Creative Commons CC-BY-NC-ND. No commercial re-distribution or re-use allowed. Derivative works cannot be distributed. Copyright © The Author(s), 2021.
Publisher Keywords: Retirement planning, deferred annuity, glide path strategy, multi-stage stochastic programming.
Subjects: H Social Sciences > HF Commerce > HF5601 Accounting
H Social Sciences > HG Finance
Departments: Bayes Business School > Actuarial Science & Insurance
Bayes Business School > Finance
SWORD Depositor:
[thumbnail of JoPEF paper CRO.pdf]
Preview
Text - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login