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An Analysis of the Performance of Target Date Funds

Author

Listed:
  • John B. Shoven
  • Daniel B. Walton

Abstract

This paper presents a thorough evaluation of target date funds for the period 2010-2020. These funds have grown enormously in assets, reaching $1.4 trillion by the end of 2019. They account for approximately 24 percent of all of the assets in 401(k) accounts. The paper reports on the results of a style analysis evaluation of TDFs which results in their effective asset allocation. It examines the constant in the style analysis regressions which reflects the over- or under-performance of the funds relative to a passive benchmark with the same asset allocation. Lower cost TDFs tend to match the benchmark, whereas higher cost TDFs deviate considerably from theirs. We examine how TDFs performed in the stock market crash between 2/19/20 and 3/23/20. In this five week period, broad market averages fell by about one-third. We find that the value of long-dated TDFs (those with a target date of 2045 and beyond) fell by between 30 and 35 percent, whereas the 2025 funds, designed for people roughly 60 years old, lost between 20 and 25 percent of their value. We find that past performance only weakly influences future expected performance. As with equity funds in general in this period, TDFs with actively managed ingredient funds, on average, trailed the performance of their cheaper passively managed counterparts.

Suggested Citation

  • John B. Shoven & Daniel B. Walton, 2020. "An Analysis of the Performance of Target Date Funds," NBER Working Papers 27971, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27971
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    Cited by:

    1. Mao, Mike Qinghao & Wong, Ching Hin, 2022. "Why have target-date funds performed better in the COVID-19 selloff than the 2008 selloff?," Journal of Banking & Finance, Elsevier, vol. 135(C).
    2. John A. Turner & Bruce W. Klein, 2021. "Improving on Defaults: Helping Pension Participants Manage Financial Market Risk in Target Date Funds," Risks, MDPI, vol. 9(4), pages 1-14, April.

    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions

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