IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v13y1978i01p123-131_00.html
   My bibliography  Save this article

Mean-Absolute-Deviation versus Least-Squares Regression Estimation of Beta Coefficients

Author

Listed:
  • Cornell, Bradford
  • Dietrich, J. Kimball

Abstract

Much of the applied work in finance, for instance the literature on capital budgeting, assumes that a firm's management has an accurate estimate of the firm's beta. This estimate is presumably derived by running a regression of the form:where:Ri = rate of return on equity for firm i,Rf = the risk-free rate, andu = a white noise random variable.

Suggested Citation

  • Cornell, Bradford & Dietrich, J. Kimball, 1978. "Mean-Absolute-Deviation versus Least-Squares Regression Estimation of Beta Coefficients," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 13(1), pages 123-131, March.
  • Handle: RePEc:cup:jfinqa:v:13:y:1978:i:01:p:123-131_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0022109000004427/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Gauri Ghai & Maria De Boyrie & Shahid Hamid & Arun Prakash, 2001. "Estimation of global systematic risk for securities listed in multiple markets," The European Journal of Finance, Taylor & Francis Journals, vol. 7(2), pages 117-130.
    2. Joe Hirschberg & Jenny Lye, 2021. "Estimating risk premiums for regulated firms when accounting for reference-day variation and high-order moments of return volatility," Environment Systems and Decisions, Springer, vol. 41(3), pages 455-467, September.
    3. Trzpiot Grażyna, 2012. "Selected Robust Methods for Camp Model Estimation," Folia Oeconomica Stetinensia, Sciendo, vol. 12(2), pages 58-71, December.
    4. A. D. Castagna & L. H. Greenwood & Z. P. Matolcsy, 1984. "An Evaluation of Alternative Methods for Estimating Systematic Risk," Australian Journal of Management, Australian School of Business, vol. 9(2), pages 1-13, December.
    5. Juan Carlos Gutierrez Betancur, 2017. "Robust Estimation of beta and the hedging ratio in Stock Index Futures In the Integrated Latin American Market," Revista Ecos de Economía, Universidad EAFIT, vol. 21(44), pages 37-71, June.
    6. R. Douglas Martin & Daniel Z. Xia, 2022. "Efficient bias robust regression for time series factor models," Journal of Asset Management, Palgrave Macmillan, vol. 23(3), pages 215-234, May.

    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:cup:jfinqa:v:13:y:1978:i:01:p:123-131_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jfq .

    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.