A Monte Carlo study of the strategies for 401(k) plans

dollar-cost-averaging, value-averaging, and proportional rebalancing

Authors

  • Haiwei Chen Department of Economics and Finance, University of Texas
  • Jim Estes Department of Accounting and Finance, California State University

DOI:

https://doi.org/10.61190/fsr.v19i2.4967

Keywords:

Simulation, Proportional rebalancing, Value-averaging, Dollar-cost-averaging, 40l(k) investing

Abstract

This study conducts Monte Carlo simulations to compare the performances of three popular asset allocation strategies in the financial press, that is, dollar-cost-averaging, value averaging, and proportional rebalancing, in the 40l(k) plan framework. Value-averaging generates a higher terminal value for a retirement portfolio than the other two strategies. Total risk of the portfolio is lower under value averaging than under dollar cost averaging. Value averaging provides the highest reward-to-risk ratio as well as the highest likelihood of meeting the investment goal. Based on the overall consideration of terminal value, total risk, modified Sharpe ratio, modified Sortino ratio, and dominance frequency, a targeted annual growth rate of between 9% and 11% for the equity account should be used as the target growth rate in conducting value averaging.

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Published

2010-06-30

Issue

Section

New Original Submission

How to Cite

A Monte Carlo study of the strategies for 401(k) plans: dollar-cost-averaging, value-averaging, and proportional rebalancing. (2010). Financial Services Review, 19(2), 95-109. https://doi.org/10.61190/fsr.v19i2.4967