IDEAS home Printed from https://ideas.repec.org/p/rza/wpaper/154.html
   My bibliography  Save this paper

Value, Size and Momentum Portfolios in Real Time: The Cross-Section of South African Stocks

Author

Listed:
  • Ryans Bartens
  • Shakill Hassan

Abstract

We implement a recursive out-of-sample method to examine anomalies-based ex-ante predictability in the cross-section of stock returns. We obtain a series of simulated out-of-sample returns, consistent with investors using only prior information when choosing predictor variables. We find that, by commonly used performance criteria, real-time trading strategies based on size, value and momentum effects would not consistently outperform a passive index of South African stocks - despite consistent in-sample excess returns. Our results suggest that the empirical relationship between the anomalous factors and cross-sectional average returns is unstable.

Suggested Citation

  • Ryans Bartens & Shakill Hassan, 2009. "Value, Size and Momentum Portfolios in Real Time: The Cross-Section of South African Stocks," Working Papers 154, Economic Research Southern Africa.
  • Handle: RePEc:rza:wpaper:154
    as

    Download full text from publisher

    File URL: http://www.econrsa.org/node/177
    Download Restriction: no

    Citations

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


    Cited by:

    1. Dr. Humberto Valencia Herrera, 2015. "Decomposition of the Stocks Returns in the Sustainable Index of the Mexican Stock Exchange," Remef - The Mexican Journal of Economics and Finance, Instituto Mexicano de Ejecutivos de Finanzas. Remef, March.
    2. Shakill Hassan & Sean Smith, 2011. "The Rand as a Carry Trade Target: Risk, Returns and Policy Implications," Working Papers 235, Economic Research Southern Africa.

    More about this item

    Keywords

    anomalies; real-time predictability; long/short portfolios; emerging markets; South Africa;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:rza:wpaper:154. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Charles Tanton). General contact details of provider: http://edirc.repec.org/data/ersacza.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.