IDEAS home Printed from https://ideas.repec.org/a/cdh/commen/395.html
   My bibliography  Save this article

Long-Term Returns: a Reality Check for Pension Funds and Retirement Savers

Author

Listed:
  • Richard Guay

    (Université du Québec À Montréal)

  • Laurence Allaire

    (CIRANO)

Abstract

Expectations for investment returns play an important role in establishing business capital cost and capital structure, as well as influencing individual savings behaviour, risk-taking, and long-term funding of institutional obligations such as pensions. Proper and realistic forecasting makes for better long-term investment decisions improving retirement planning. In this Commentary, we demonstrate why pension plan administrators and individual savers should avoid using historical rates of returns to forecast future returns, and provide our own forecast for long-term investment returns on a balanced portfolio of bonds and stocks using current and prospective market information. Our empirical analysis of Canadian data provides substantial evidence that forecasts based on past performance should not form a basis for decision-making, as they consistently point in the wrong direction. The history of stock and bond markets is punctuated with extreme situations – such as the recent global financial crisis – that make drawing on the outcome of these events inappropriate as a predictor of future performance. Thus, relying on historical performance to inform long-run return forecasts in pricing future pension liabilities is almost certain to be misleading. Prospectively, using information available as of February 2013, we predict long-term returns in the neighbourhood of 2.5 percent (0.5 percent real) on long-term bonds and of 6.9 percent (4.8 percent real) on stocks. For a balanced portfolio (50/50 split), we therefore expect a real return of 2.7 percent for the next decade. To incorporate potential risks to this scenario, we have performed a series of long-term simulations that give a sense of varied possible outcomes. We found significant downside risks. There is a 25 percent probability that portfolio returns will be lower than forecasted by more than one percentage point on a 30-year horizon, and lower by more than 2 percentage points on a 10-year horizon. Finally, we draw implications for pension funds and individual savers. The use of more realistic investment return expectations would reveal bigger pension liability for some defined-benefit pension plans. They also mean individuals should save more for their retirement to avoid a larger-than-expected drop in their retirement lifestyles.

Suggested Citation

  • Richard Guay & Laurence Allaire, 2013. "Long-Term Returns: a Reality Check for Pension Funds and Retirement Savers," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 395, December.
  • Handle: RePEc:cdh:commen:395
    as

    Download full text from publisher

    File URL: https://www.cdhowe.org/public-policy-research/long-term-returns-reality-check-pension-funds-and-retirement-savings
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard Guay & Michel Magnan & Bryan Campbell & Laurence Allaire, 2011. "Pensions 4-2 au Québec : Vers un nouveau partenariat," CIRANO Project Reports 2011rp-08, CIRANO.
    2. William B.P. Robson & Alexandre Laurin, 2012. "Federal Employee Pension Reforms: First Steps - on a Much Longer Journey," e-briefs 140, C.D. Howe Institute.
    3. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," The Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    4. Francesco Franzoni & Eric Nowak & Ludovic Phalippou, 2012. "Private Equity Performance and Liquidity Risk," Journal of Finance, American Finance Association, vol. 67(6), pages 2341-2373, December.
    5. Paul Beaudry & Philippe Bergevin, 2013. "The New "Normal" for Interest Rates in Canada: The Implications of Long-Term Shifts in Global Saving and Investment," e-briefs 156, C.D. Howe Institute.
    Full references (including those not matched with items on IDEAS)

    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. Croce, M.M. & Nguyen, Thien T. & Raymond, S. & Schmid, L., 2019. "Government debt and the returns to innovation," Journal of Financial Economics, Elsevier, vol. 132(3), pages 205-225.
    2. Alan Gregory, 2011. "The Expected Cost of Equity and the Expected Risk Premium in the UK," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(1), pages 1-26, April.
    3. Peter C.B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Testing for Multiple Bubbles," Working Papers 09-2011, Singapore Management University, School of Economics.
    4. Brian H. Boyer & Taylor D. Nadauld & Keith P. Vorkink & Michael S. Weisbach, 2023. "Discount‐Rate Risk in Private Equity: Evidence from Secondary Market Transactions," Journal of Finance, American Finance Association, vol. 78(2), pages 835-885, April.
    5. Caspi, Itamar & Graham, Meital, 2018. "Testing for bubbles in stock markets with irregular dividend distribution," Finance Research Letters, Elsevier, vol. 26(C), pages 89-94.
    6. Davide Pettenuzzo & Francesco Ravazzolo, 2016. "Optimal Portfolio Choice Under Decision‐Based Model Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1312-1332, November.
    7. Sellin, Peter, 1998. "Monetary Policy and the Stock Market: Theory and Empirical Evidence," Working Paper Series 72, Sveriges Riksbank (Central Bank of Sweden).
    8. Wong, Michael Chak-sham & Cheung, Yan-Leung, 1999. "The practice of investment management in Hong Kong: market forecasting and stock selection," Omega, Elsevier, vol. 27(4), pages 451-465, August.
    9. Toshiaki Ogawa & Masato Ubukata & Toshiaki Watanabe, 2020. "Stock Return Predictability and Variance Risk Premia around the ZLB," IMES Discussion Paper Series 20-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
    10. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Risks, MDPI, vol. 6(4), pages 1-18, September.
    11. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector‐Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5‐6), pages 668-686, June.
    12. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    13. Vicente Esteve & Manuel Navarro-Ibáñez & María A. Prats, 2013. "The present value model of US stock prices revisited: long-run evidence with structural breaks, 1871-2010," Working Papers 04/13, Instituto Universitario de Análisis Económico y Social.
    14. Sang Byung Seo & Jessica A. Wachter, 2019. "Option Prices in a Model with Stochastic Disaster Risk," Management Science, INFORMS, vol. 65(8), pages 3449-3469, August.
    15. Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2022. "The Microeconomics of Cryptocurrencies," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 971-1013, September.
    16. Christopher L. Culp & Yoshio Nozawa & Pietro Veronesi, 2014. "Option-Based Credit Spreads," NBER Working Papers 20776, National Bureau of Economic Research, Inc.
    17. Chauvet, Marcelle & Potter, Simon, 2001. "Nonlinear Risk," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 621-646, September.
    18. Bollerslev, Tim & Gibson, Michael & Zhou, Hao, 2011. "Dynamic estimation of volatility risk premia and investor risk aversion from option-implied and realized volatilities," Journal of Econometrics, Elsevier, vol. 160(1), pages 235-245, January.
    19. Bekaert, Geert & Engstrom, Eric & Grenadier, Steven R., 2010. "Stock and bond returns with Moody Investors," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 867-894, December.
    20. Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2019. "Forecasting stock returns with cycle-decomposed predictors," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 250-261.

    More about this item

    Keywords

    Governance and Public Institutions; Pension Policy; Financial Services;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:cdh:commen:395. 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: Kristine Gray (email available below). General contact details of provider: https://edirc.repec.org/data/cdhowca.html .

    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.