IDEAS home Printed from https://ideas.repec.org/a/bla/jfnres/v20y1997i1p129-143.html
   My bibliography  Save this article

An Investigation Of Alternative Estimators Of Expected Returns In Mean‐Variance Analysis

Author

Listed:
  • Jonathan Fletcher

Abstract

In this paper I examine the out‐of‐sample performance of five mean‐variance strategies using different models of expected returns within a U.K. industry asset‐allocation framework between January 1970 and December 1991. The performance of the five strategies is evaluated with different measures. I find superior performance for the strategy that uses conditioning information to estimate expected returns. This consistently outperforms the two passive benchmarks and earns positive abnormal returns over the sample period regardless of how frequently the portfolio is revised and whether portfolio restrictions are imposed.

Suggested Citation

  • Jonathan Fletcher, 1997. "An Investigation Of Alternative Estimators Of Expected Returns In Mean‐Variance Analysis," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(1), pages 129-143, March.
    • Handle: RePEc:bla:jfnres:v:20:y:1997:i:1:p:129-143
    DOI: 10.1111/j.1475-6803.1997.tb00240.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1475-6803.1997.tb00240.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1475-6803.1997.tb00240.x?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
    ---><---

    Citations

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


    Cited by:

    1. Fletcher, Jonathan & Hillier, Joe, 2002. "An examination of the economic significance of stock return predictability in UK stock returns," International Review of Economics & Finance, Elsevier, vol. 11(4), pages 373-392.
    2. Allen, D. & Lizieri, C. & Satchell, S., 2012. "Mean-Variance versus 1/N: What if we can forecast? (Updated 22nd December 2013)," Cambridge Working Papers in Economics 1244, Faculty of Economics, University of Cambridge.
    3. Mainik, Georg & Mitov, Georgi & Rüschendorf, Ludger, 2015. "Portfolio optimization for heavy-tailed assets: Extreme Risk Index vs. Markowitz," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 115-134.
    4. Fletcher, Jonathan, 2011. "Do optimal diversification strategies outperform the 1/N strategy in U.K. stock returns?," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 375-385.
    5. Fletcher, Jonathan & Hillier, Joe, 2005. "An examination of linear factor models in country equity asset allocation strategies," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 808-823, September.

    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:bla:jfnres:v:20:y:1997:i:1:p:129-143. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfaaaea.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.