Revisiting the 4% Withdrawal Rule Using Monte Carlo Simulations with Random Market Declines

Abstract This paper tracks the performance of a hypothetical retirement portfolio valued at $1,000,000 by applying the popular 4% rule of thumb withdrawals. These withdrawals are adjusted annually to account for simulated inflation and market return rates. Additionally, we incorporate different market shocks that resemble “black swan” events into our analysis. Commencing at a retirement age of 64 and adopting a 30-year retirement planning horizon, we employ Monte Carlo simulations to compute the final value of the portfolio at age 93 under various market shocks. These events occur randomly within the 30-year planning horizon. The average ending portfolio balance and the probability of fund depletion are reported, considering diverse portfolios with a range of asset allocations divided between stocks and bonds. The study's results demonstrate that a portfolio with a higher allocation to equity can yield a superior average ending portfolio balance while reducing the risk of fund depletion.

Authors

Institutions

Publication Details

Journal
Financial Planning Research Journal
Published
2024-12-01
DOI
https://doi.org/10.2478/fprj-2024-0001
Citations
1
Primary Topic
Monetary Policy and Economic Impact
Type
article
Field-Weighted Citation Impact
0.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revisiting the 4% Withdrawal Rule Using Monte Carlo Simulations with Random Market Declines

Nabil Tamimi, Murli Rajan, Rose Sebastianelli, Vincent Rocco
1 citations
Financial Planning Research Journal
Monetary Policy and Economic Impact
0.83
article

Revisiting the 4% Withdrawal Rule Using Monte Carlo Simulations with Random Market Declines

Nabil Tamimi, Murli Rajan, Rose Sebastianelli, Vincent Rocco
article en
1 citations

Abstract

Abstract This paper tracks the performance of a hypothetical retirement portfolio valued at $1,000,000 by applying the popular 4% rule of thumb withdrawals. These withdrawals are adjusted annually to account for simulated inflation and market return rates. Additionally, we incorporate different market shocks that resemble “black swan” events into our analysis. Commencing at a retirement age of 64 and adopting a 30-year retirement planning horizon, we employ Monte Carlo simulations to compute the final value of the portfolio at age 93 under various market shocks. These events occur randomly within the 30-year planning horizon. The average ending portfolio balance and the probability of fund depletion are reported, considering diverse portfolios with a range of asset allocations divided between stocks and bonds. The study's results demonstrate that a portfolio with a higher allocation to equity can yield a superior average ending portfolio balance while reducing the risk of fund depletion.

Financial Planning Research JournalVol. 10(1)
University of Scranton (US)
Openalex Percentile: Top 20%
Monetary Policy and Economic Impact
0.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.