IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v12y2011i6d10.1057_jam.2011.20.html
   My bibliography  Save this article

Impact of investment horizon on the performance of value versus growth styles and style allocation

Author

Listed:
  • Jia Wang

    (Rowan University, Glassboro)

Abstract

Most literature on time diversification focuses on the risks of stocks versus bonds. Little attention has been given to the impact of time horizon on the risks for value versus growth stocks. With the growing popularity of those two investment styles, it is in great need to analyze the time changing nature of risks for value versus growth styles. This article seeks to fill in the void. We study three downside risk measures: shortfall risk, expected loss and lower partial standard deviations (LPSDs), for value versus growth styles across different holding periods. We find that all the three risk measures decline when time horizon lengthens. The benefit of time diversification is greater for value stocks than for growth stocks. And value stocks outperform growth stocks in terms of both risks and returns in the long run. Does this mean that an investor should increase his/her investment in value stocks for longer investment horizons? We further explore the optimal mix of value and growth stocks across time horizons. Interestingly, even though value stocks dominate growth stocks in both risks and returns in the long run, adding growth stocks to value stocks is still beneficial. With rolling window analysis (when the returns are autocorrelated), the optimal weights for value stocks are approximately 50 per cent, 40–50 per cent and 30–40 per cent in order to minimize shortfall risk, expected loss and LPSDs, respectively, for an investment window of 1–15 years. With bootstrap analysis (return distributions are independent), the optimal weights for value stocks increase as time horizon lengthens. However, even for the 15-year window, the optimal portfolio still has about 30 per cent growth stocks. In other words, style diversification is still important even in the long run.

Suggested Citation

  • Jia Wang, 2011. "Impact of investment horizon on the performance of value versus growth styles and style allocation," Journal of Asset Management, Palgrave Macmillan, vol. 12(6), pages 438-446, December.
  • Handle: RePEc:pal:assmgt:v:12:y:2011:i:6:d:10.1057_jam.2011.20
    DOI: 10.1057/jam.2011.20
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/jam.2011.20
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/jam.2011.20?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. Paul A. Samuelson, 2011. "Lifetime Portfolio Selection by Dynamic Stochastic Programming," World Scientific Book Chapters, in: Leonard C MacLean & Edward O Thorp & William T Ziemba (ed.), THE KELLY CAPITAL GROWTH INVESTMENT CRITERION THEORY and PRACTICE, chapter 31, pages 465-472, World Scientific Publishing Co. Pte. Ltd..
    2. Fishburn, Peter C, 1977. "Mean-Risk Analysis with Risk Associated with Below-Target Returns," American Economic Review, American Economic Association, vol. 67(2), pages 116-126, March.
    3. Bawa, Vijay S., 1975. "Optimal rules for ordering uncertain prospects," Journal of Financial Economics, Elsevier, vol. 2(1), pages 95-121, March.
    4. Philippe Jorion, 2003. "The Long-Term Risks of Global Stock Markets," Financial Management, Financial Management Association, vol. 32(4), Winter.
    5. Lakshman Alles & Louis Murray, 2009. "Investment performance and holding periods: An investigation of the major UK asset classes," Journal of Asset Management, Palgrave Macmillan, vol. 10(5), pages 280-292, December.
    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. Brogan, Anita J. & Stidham Jr., Shaler, 2008. "Non-separation in the mean-lower-partial-moment portfolio optimization problem," European Journal of Operational Research, Elsevier, vol. 184(2), pages 701-710, January.
    2. Prat, Georges, 2013. "Equity risk premium and time horizon: What do the U.S. secular data say?," Economic Modelling, Elsevier, vol. 34(C), pages 76-88.
    3. Danielsson, Jon & Jorgensen, Bjorn N. & Sarma, Mandira & de Vries, Casper G., 2006. "Comparing downside risk measures for heavy tailed distributions," Economics Letters, Elsevier, vol. 92(2), pages 202-208, August.
    4. Cotter, John & Dowd, Kevin, 2006. "Extreme spectral risk measures: An application to futures clearinghouse margin requirements," Journal of Banking & Finance, Elsevier, vol. 30(12), pages 3469-3485, December.
    5. Tee, Kai-Hong, 2009. "The effect of downside risk reduction on UK equity portfolios included with Managed Futures Funds," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 303-310, December.
    6. Briec, Walter & Kerstens, Kristiaan, 2010. "Portfolio selection in multidimensional general and partial moment space," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 636-656, April.
    7. Basu, Anup K. & Drew, Michael E., 2010. "The appropriateness of default investment options in defined contribution plans: Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 290-305, June.
    8. Rui Pedro Brito & Hélder Sebastião & Pedro Godinho, 2016. "Efficient skewness/semivariance portfolios," Journal of Asset Management, Palgrave Macmillan, vol. 17(5), pages 331-346, September.
    9. David Moreno & Paulina Marco & Ignacio Olmeda, 2005. "Risk forecasting models and optimal portfolio selection," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1267-1281.
    10. López, Raquel & Esparcia, Carlos, 2021. "Analysis of the performance of volatility-based trading strategies on scheduled news announcement days: An international equity market perspective," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 32-54.
    11. Sevillano, María Caridad & Jareño, Francisco & López, Raquel & Esparcia, Carlos, 2024. "Connectedness between oil price shocks and US sector returns: Evidence from TVP-VAR and wavelet decomposition," Energy Economics, Elsevier, vol. 131(C).
    12. Bannier, Christina E. & Bofinger, Yannik & Rock, Björn, 2019. "Doing safe by doing good: ESG investing and corporate social responsibility in the U.S. and Europe," CFS Working Paper Series 621, Center for Financial Studies (CFS).
    13. Ayub, Usman & Shah, Syed Zulfiqar Ali & Abbas, Qaisar, 2015. "Robust analysis for downside risk in portfolio management for a volatile stock market," Economic Modelling, Elsevier, vol. 44(C), pages 86-96.
    14. Jonathan Dark, 2005. "A Critique of Minimum Variance Hedging," Accounting Research Journal, Emerald Group Publishing, vol. 18(1), pages 40-49, June.
    15. Hassine, Marlène & Roncalli, Thierry, 2013. "Measuring Performance of Exchange Traded Funds," MPRA Paper 44298, University Library of Munich, Germany.
    16. John Cotter & Jim Hanly, 2012. "Hedging effectiveness under conditions of asymmetry," The European Journal of Finance, Taylor & Francis Journals, vol. 18(2), pages 135-147, February.
    17. Cotter, John & Dowd, Kevin, 2006. "Spectral Risk Measures with an Application to Futures Clearinghouse Variation Margin Requirements," MPRA Paper 3495, University Library of Munich, Germany.
    18. Amy V. Puelz, 2002. "A Stochastic Convergence Model for Portfolio Selection," Operations Research, INFORMS, vol. 50(3), pages 462-476, June.
    19. Cumova, Denisa & Nawrocki, David, 2011. "A symmetric LPM model for heuristic mean-semivariance analysis," Journal of Economics and Business, Elsevier, vol. 63(3), pages 217-236, May.
    20. Lwin, Khin T. & Qu, Rong & MacCarthy, Bart L., 2017. "Mean-VaR portfolio optimization: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 260(2), pages 751-766.

    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:pal:assmgt:v:12:y:2011:i:6:d:10.1057_jam.2011.20. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.