IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v22y2012i16p1343-1353.html
   My bibliography  Save this article

Long-term investors and valuation-based asset allocation

Author

Listed:
  • Wade D. Pfau

Abstract

Valuation-based market timing demonstrates strong potential to improve risk-adjusted returns for conservative long-term investors. Such timing strategies based on the cyclically-adjusted price-earnings ratio provide comparable returns as a 100% stocks buy-and-hold strategy but with substantially less risk. Meanwhile, market timing provides comparable risks and the same average asset allocation as a 50/50 fixed allocation strategy, but with much higher returns. Also, it is important to consider less extreme timing strategies as well, as defining market timing as either all stocks or all cash does not provide a hedge against the possibility that valuations may depart from their historical averages for extended periods. Finally, comparing the strategies over shorter rolling sub-periods reveals that a valuation-based market timing approach fairly consistently provides risk-adjusted returns superior to a fixed asset allocation strategy.

Suggested Citation

  • Wade D. Pfau, 2012. "Long-term investors and valuation-based asset allocation," Applied Financial Economics, Taylor & Francis Journals, vol. 22(16), pages 1343-1353, August.
  • Handle: RePEc:taf:apfiec:v:22:y:2012:i:16:p:1343-1353
    DOI: 10.1080/09603107.2011.648317
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09603107.2011.648317
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09603107.2011.648317?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    2. Bedri Kamil Onur Tas, 2011. "Private information of the Fed and predictability of stock returns," Applied Economics, Taylor & Francis Journals, vol. 43(19), pages 2381-2398.
    3. Samih Antoine Azar, 2006. "Measuring relative risk aversion," Applied Financial Economics Letters, Taylor & Francis Journals, vol. 2(5), pages 341-345.
    4. Jonathan Ingersoll & Ivo Welch, 2007. "Portfolio Performance Manipulation and Manipulation-proof Performance Measures," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1503-1546, 2007 17.
    5. Luis Ferruz & Fernando Munoz & Maria Vargas, 2011. "Are traditional timing models well specified?," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3433-3440.
    6. Li, GuangJie, 2009. "The Horizon Effect of Stock Return Predictability and Model Uncertainty on Portfolio Choice: UK Evidence," Cardiff Economics Working Papers E2009/4, Cardiff University, Cardiff Business School, Economics Section, revised Aug 2009.
    7. Guangjie Li, 2011. "The horizon effect of stock return predictability and model uncertainty on portfolio choice: UK evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 21(11), pages 771-787.
    8. Jack W. Wilson, 2002. "An Analysis of the S&P 500 Index and Cowles's Extensions: Price Indexes and Stock Returns, 18701999," The Journal of Business, University of Chicago Press, vol. 75(3), pages 505-534, July.
    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. Oliver D. Bunn & Robert J. Shiller, "undated". "Changing Times, Changing Values: A Historical Analysis of Sectors within the US Stock Market 1872-2013," Cowles Foundation Discussion Papers 1950, Cowles Foundation for Research in Economics, Yale University.
    2. Cheol S. Eun & Sandy Lai & Frans A. de Roon & Zhe Zhang, 2010. "International Diversification with Factor Funds," Management Science, INFORMS, vol. 56(9), pages 1500-1518, September.
    3. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    4. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    5. Molestina Vivar, Luis & Wedow, Michael & Weistroffer, Christian, 2023. "Burned by leverage? Flows and fragility in bond mutual funds," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 354-380.
    6. Klaus Grobys & James W. Kolari & Jere Rutanen, 2022. "Factor momentum, option-implied volatility scaling, and investor sentiment," Journal of Asset Management, Palgrave Macmillan, vol. 23(2), pages 138-155, March.
    7. Söderlind, Paul, 2009. "The C-CAPM without ex post data," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 721-729, December.
    8. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    9. Gniadkowska-Szymańska Agata, 2017. "The impact of trading liquidity on the rate of return on emerging markets: the example of Poland and the Baltic countries," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 13(4), pages 136-148, December.
    10. Chen, Jian & Jiang, Fuwei & Liu, Yangshu & Tu, Jun, 2017. "International volatility risk and Chinese stock return predictability," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 183-203.
    11. Tim Brailsford & Clive Gaunt & Michael A O’Brien, 2012. "Size and book-to-market factors in Australia," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 261-281, August.
    12. Gomez Biscarri, Javier & Lopez Espinosa, German, 2008. "The influence of differences in accounting standards on empirical pricing models: An application to the Fama-French model," Journal of Multinational Financial Management, Elsevier, vol. 18(4), pages 369-388, October.
    13. Hou, Yang & Meng, Jiayin, 2018. "The momentum effect in the Chinese market and its relationship with the simultaneous and the lagged investor sentiment," MPRA Paper 94838, University Library of Munich, Germany.
    14. Jesse M. Keenan & Anurag Gumber, 2019. "California climate adaptation trust fund: exploring the leveraging of cap-and-trade proceeds," Environment Systems and Decisions, Springer, vol. 39(4), pages 454-465, December.
    15. Kang, Joseph & Liu, Ming-Hua & Ni, Sophie Xiaoyan, 2002. "Contrarian and momentum strategies in the China stock market: 1993-2000," Pacific-Basin Finance Journal, Elsevier, vol. 10(3), pages 243-265, June.
    16. Azzi, Sarah & Bird, Ron, 2005. "Prophets during boom and gloom downunder," Global Finance Journal, Elsevier, vol. 15(3), pages 337-367, February.
    17. Luo, Bing, 2019. "Effects of auditor-provided tax services on book-tax differences and on investors' mispricing of book-tax differences," Advances in accounting, Elsevier, vol. 47(C).
    18. Paulo Alves, 2013. "The Fama French Model or the Capital Asset Pricing Model: International Evidence," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 7(2), pages 79-89.
    19. Stefano DellaVigna & Joshua M. Pollet, 2005. "Attention, Demographics, and the Stock Market," NBER Working Papers 11211, National Bureau of Economic Research, Inc.
    20. Long, Huaigang & Zhu, Yanjian & Chen, Lifang & Jiang, Yuexiang, 2019. "Tail risk and expected stock returns around the world," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 162-178.

    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:taf:apfiec:v:22:y:2012:i:16:p:1343-1353. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAFE20 .

    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.