Determining Safe Withdrawal Rates for Post-Retirement via a Ruin-Theory Approach

Author:

Daraei Diba1,Sendova Kristina1ORCID

Affiliation:

1. Department of Statistical and Actuarial Sciences, School of Mathematical and Statistical Sciences, Western University, London, ON N6A 5B7, Canada

Abstract

To ensure a comfortable post-retirement life and the ability to cover living expenses, it is of utmost importance for individuals to have a clear understanding of how long their pre-retirement savings will last. In this research, we employ a ruin-theory approach to model the inflows and the outflows of retirees’ portfolios. We track all transactions within the portfolios of retired clients sourced by a registered investment provider to Canada’s Financial Wellness Lab at Western University. By utilizing an advanced ruin model, we calculate the mean and the median time it takes for savings to be exhausted, the probabilities of exhaustion of funds within the retirees’ expected remaining lifetime while accounting for the observed withdrawal rates, and the deficit at ruin if a retiree has used up all of their savings. We also account for gender as well as for the risk tolerance of retired clients using a K-Means clustering algorithm. This allows us to compare the financial outcomes for female and male retirees and to enhance some findings in the literature. In the final phase of our study, we compare the results obtained by our methodology to the 4% rule which is a widely used approach for post-retirement spending. Our results show that most retirees can withdraw safely more than they currently do (around 2.5%). A withdrawal rate of about 4.5% is proved to be safe, but it might not provide sufficient income for most retirees since it yields approximately CAD 20,000 per year for male retirees in the highest risk tolerance group who withdraw about 4.5% annually.

Funder

Natural Sciences and Engineering Research Council of Canada

Compute Ontario

Publisher

MDPI AG

Reference36 articles.

1. Exponential behavior in the presence of dependence in risk theory;Albrecher;Journal of Applied Probability,2006

2. Explicit ruin formulas for models with dependence among risks;Albrecher;Insurance: Mathematics and Economics,2011

3. Durbin-Watson and generalized Durbin-Watson tests for autocorrelations and randomness;Ali;Journal of Business & Economic Statistics,1987

4. Anarkulova, Aizhan, Cederburg, Scott, O’Doherty, Michael S., and Sias, Richard W. (2024, January 01). The Safe Withdrawal Rate: Evidence from a Broad Sample of Developed Markets. Available online: https://ssrn.com/abstract=4227132.

5. Determining withdrawal rates using historical data;Bengen;Journal of Financial Planning,1994

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3