IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1705.00543.html
   My bibliography  Save this paper

Are target date funds dinosaurs? Failure to adapt can lead to extinction

Author

Listed:
  • Peter A. Forsyth
  • Yuying Li
  • Kenneth R. Vetzal

Abstract

Investors in Target Date Funds are automatically switched from high risk to low risk assets as their retirements approach. Such funds have become very popular, but our analysis brings into question the rationale for them. Based on both a model with parameters fitted to historical returns and on bootstrap resampling, we find that adaptive investment strategies significantly outperform typical Target Date Fund strategies. This suggests that the vast majority of Target Date Funds are serving investors poorly.

Suggested Citation

  • Peter A. Forsyth & Yuying Li & Kenneth R. Vetzal, 2017. "Are target date funds dinosaurs? Failure to adapt can lead to extinction," Papers 1705.00543, arXiv.org.
  • Handle: RePEc:arx:papers:1705.00543
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1705.00543
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dang, D.M. & Forsyth, P.A., 2016. "Better than pre-commitment mean-variance portfolio allocation strategies: A semi-self-financing Hamilton–Jacobi–Bellman equation approach," European Journal of Operational Research, Elsevier, vol. 250(3), pages 827-841.
    2. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    3. Duan Li & Wan‐Lung Ng, 2000. "Optimal Dynamic Portfolio Selection: Multiperiod Mean‐Variance Formulation," Mathematical Finance, Wiley Blackwell, vol. 10(3), pages 387-406, July.
    4. S. G. Kou & Hui Wang, 2004. "Option Pricing Under a Double Exponential Jump Diffusion Model," Management Science, INFORMS, vol. 50(9), pages 1178-1192, September.
    5. G.M. Constantinides & M. Harris & R. M. Stulz (ed.), 2013. "Handbook of the Economics of Finance," Handbook of the Economics of Finance, Elsevier, volume 2, number 2-b.
    6. G.M. Constantinides & M. Harris & R. M. Stulz (ed.), 2013. "Handbook of the Economics of Finance," Handbook of the Economics of Finance, Elsevier, volume 2, number 2-a.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tessa Bauman & Bruno Gav{s}perov & Stjepan Beguv{s}i'c & Zvonko Kostanjv{c}ar, 2023. "Deep Reinforcement Learning for Robust Goal-Based Wealth Management," Papers 2307.13501, arXiv.org.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter A. Forsyth & Kenneth R. Vetzal, 2019. "Defined Contribution Pension Plans: Who Has Seen the Risk?," JRFM, MDPI, vol. 12(2), pages 1-27, April.
    2. Chendi Ni & Yuying Li & Peter A. Forsyth, 2023. "Neural Network Approach to Portfolio Optimization with Leverage Constraints:a Case Study on High Inflation Investment," Papers 2304.05297, arXiv.org, revised May 2023.
    3. Bellofatto, Anthony & Broihanne, Marie-Hélène & D'Hondt, Catherine, 2019. "Appetite for information and trading behavior," LIDAM Discussion Papers LFIN 2019002, Université catholique de Louvain, Louvain Finance (LFIN).
    4. Craig Burnside & Mario Cerrato & Zhekai Zhang, "undated". "Foreign exchange order flow as a risk factor," Working Papers 2023-03, Business School - Economics, University of Glasgow.
    5. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    6. Farkas, Miklós & Váradi, Kata, 2021. "Do leveraged warrants prompt individuals to speculate on stock price reversals?," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 164-176.
    7. Xi Fu & Xiaoxi Wu & Zhifang Zhang, 2021. "The Information Role of Earnings Conference Call Tone: Evidence from Stock Price Crash Risk," Journal of Business Ethics, Springer, vol. 173(3), pages 643-660, October.
    8. Nicolas Aubert & Hachmi Ben Ameur & Guillaume Garnotel & Jean‐Luc Prigent, 2018. "Optimal Employee Ownership Contracts Under Ambiguity Aversion," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 238-251, January.
    9. Ben Gillen & Erik Snowberg & Leeat Yariv, 2015. "Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study," NBER Working Papers 21517, National Bureau of Economic Research, Inc.
    10. Juhani T. Linnainmaa & Brian T. Melzer & Alessandro Previtero, 2021. "The Misguided Beliefs of Financial Advisors," Journal of Finance, American Finance Association, vol. 76(2), pages 587-621, April.
    11. Raman Uppal & Harjoat Bhamra, 2016. "Do Individual Behavioral Biases Affect Financial Markets and the Macroeconomy?," 2016 Meeting Papers 1358, Society for Economic Dynamics.
    12. Rüdiger Fahlenbrach & Marc Frattaroli, 2021. "ICO investors," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(1), pages 1-59, March.
    13. Firth, Chris, 2020. "Protecting investors from themselves: Evidence from a regulatory intervention," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    14. Peter A. Forsyth & George Labahn, 2017. "$\epsilon$-Monotone Fourier Methods for Optimal Stochastic Control in Finance," Papers 1710.08450, arXiv.org, revised Apr 2018.
    15. André Schmidt, 2017. "Determinants of Corporate Voting – Evidence from a Large Survey of German Retail Investors," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 18(1), pages 71-103, February.
    16. Brown, Sarah & Durand, Robert B. & Harris, Mark N. & Weterings, Tim, 2014. "Modelling financial satisfaction across life stages: A latent class approach," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 117-127.
    17. Rüdiger Weber & Annika Weber & Christine Laudenbach & Johannes Wohlfart, 2021. "Beliefs About the Stock Market and Investment Choices: Evidence from a Field Experiment," CEBI working paper series 21-17, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    18. Sarantis Tsiaplias & Qi Zeng & Guay Lim, 2021. "Retail investor expectations and trading preferences," Melbourne Institute Working Paper Series wp2021n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    19. Shao, Ran & Wang, Na, 2021. "Trust and local bias of individual investors," Journal of Banking & Finance, Elsevier, vol. 133(C).
    20. Langnickel, Ferdinand & Zeisberger, Stefan, 2016. "Do we measure overconfidence? A closer look at the interval production task," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 121-133.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:1705.00543. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.