IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v18y2002i2p95-118.html
   My bibliography  Save this article

Estimating Beta

Author

Listed:
  • Shalit, Haim
  • Yitzhaki, Shlomo

Abstract

This paper presents evidence that Ordinary Least Squares estimators of beta coefficients of major firms and portfolios are highly sensitive to observations of extremes in market index returns. This sensitivity is rooted in the inconsistency of the quadratic loss function in financial theory. By introducing considerations of risk aversion into the estimation procedure using alternative estimators derived from Gini measures of variability one can overcome this lack of robustness and improve the reliability of the results. Copyright 2002 by Kluwer Academic Publishers

Suggested Citation

  • Shalit, Haim & Yitzhaki, Shlomo, 2002. "Estimating Beta," Review of Quantitative Finance and Accounting, Springer, vol. 18(2), pages 95-118, March.
    • Handle: RePEc:kap:rqfnac:v:18:y:2002:i:2:p:95-118
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0924-865X/contents
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Shalit, Haim, 2012. "Using OLS to test for normality," Statistics & Probability Letters, Elsevier, vol. 82(11), pages 2050-2058.
    2. Sexton, Richard J. & Sheldon, Ian M. & McCorriston, Steve & Wang, Humei, 2004. "Analyzing Vertical Market Structure And Its Implications For Trade Liberalization," 2004 Annual meeting, August 1-4, Denver, CO 20060, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. David M. McEvoy & Sylvia Brandt & Sven Anders, 2009. "The Effects of ITQ Management on Fishermen’s Welfare When the Processing Sector Is Imperfectly Competitive," Land Economics, University of Wisconsin Press, vol. 85(3), pages 470-484.
    4. Fernandez, Pablo, 2004. "Are calculated betas good for anything?," IESE Research Papers D/555, IESE Business School.
    5. Haim Shalit & Shlomo Yitzhaki, 2010. "How does beta explain stochastic dominance efficiency?," Review of Quantitative Finance and Accounting, Springer, vol. 35(4), pages 431-444, November.
    6. Saitone, Tina L. & Sexton, Richard J. & Sexton, Steven E., 2008. "Market Power in the Corn Sector: How Does It Affect the Impacts of the Ethanol Subsidy?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(2), pages 1-26.
    7. Michael Devaney & William Weber, 2005. "Efficiency, Scale Economies, and the Risk/Return Performance of Real Estate Investment Trusts," The Journal of Real Estate Finance and Economics, Springer, vol. 31(3), pages 301-317, November.
    8. Adrian Lei & Martin Yick & Keith Lam, 2013. "Does tax convexity matter for risk? A dynamic study of tax asymmetry and equity beta," Review of Quantitative Finance and Accounting, Springer, vol. 41(1), pages 131-147, July.
    9. E. Schechtman & S. Yitzhaki, 2003. "A Family of Correlation Coefficients Based on the Extended Gini Index," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(2), pages 129-146, August.
    10. John Geppert & Stoyu Ivanov & Gordon Karels, 2011. "An analysis of the importance of S&P 500 discretionary constituent changes," Review of Quantitative Finance and Accounting, Springer, vol. 37(1), pages 21-34, July.
    11. Richards, Timothy J. & Kagan, Albert & Mischen, Pamela & Adu-Asamoah, Richard, 1996. "Marketing Order Suspensions And Fresh Lemon Retail-Fob Margins," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 28(2), pages 1-15, December.

    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:kap:rqfnac:v:18:y:2002:i:2:p:95-118. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.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.