IDEAS home Printed from https://ideas.repec.org/a/bla/eufman/v5y1999i1p29-42.html
   My bibliography  Save this article

Accounting for the Accuracy of Beta Estimates in CAPM Tests on Assets with Time‐varying Risks

Author

Listed:
  • Tom Berglund
  • Johan Knif

Abstract

This paper advocates two ways to make more efficient use of available information in reducing the bias of the risk premium estimate in two‐pass tests of the CAPM. First, explicit modelling of the time‐variability of betas can improve the accuracy of the beta forecasts. Second, the cross‐sectional information available can be exploited more efficiently using individual stocks instead of portfolios provided that noisy beta predictions are given a smaller weight than more accurate ones. This paper proposes an adjustment of the cross‐sectional regressions of excess returns against betas to give larger weights to more reliable beta forecasts. A significant positive relationship between returns and the beta forecast is obtained when the proposed approach is applied to data from the Helsinki Stock Exchange, while the traditional Fama–MacBeth approach as such finds no relationship at all.

Suggested Citation

  • Tom Berglund & Johan Knif, 1999. "Accounting for the Accuracy of Beta Estimates in CAPM Tests on Assets with Time‐varying Risks," European Financial Management, European Financial Management Association, vol. 5(1), pages 29-42, March.
    • Handle: RePEc:bla:eufman:v:5:y:1999:i:1:p:29-42
    DOI: 10.1111/1468-036X.00078
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1468-036X.00078
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1468-036X.00078?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. Rob Bauer & Mathijs Cosemans & Peter C. Schotman, 2010. "Conditional Asset Pricing and Stock Market Anomalies in Europe," European Financial Management, European Financial Management Association, vol. 16(2), pages 165-190, March.
    2. Koutmos, Gregory & Knif, Johan, 2002. "Time variation and asymmetry in systematic risk: evidence from the Finnish stock exchange," Journal of Multinational Financial Management, Elsevier, vol. 12(3), pages 261-271, July.
    3. Inchauspe, Julian & Ripple, Ronald D. & Trück, Stefan, 2015. "The dynamics of returns on renewable energy companies: A state-space approach," Energy Economics, Elsevier, vol. 48(C), pages 325-335.
    4. Gareeva Yuliya & Dranev Yury & Kucherov Alexander, 2018. "The Impact of Innovation Capital on Firm Values," HSE Working papers WP BRP 79/STI/2018, National Research University Higher School of Economics.
    5. Johan Knif & James W. Kolari & Gregory Koutmos & Seppo Pynonen, 2023. "Modeling the Time Variation in Factor Exposures," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 12(2), pages 1-2.
    6. Amir Amel†Zadeh, 2011. "The Return of the Size Anomaly: Evidence from the German Stock Market," European Financial Management, European Financial Management Association, vol. 17(1), pages 145-182, January.
    7. Fernandez, Pablo, 2004. "Are calculated betas good for anything?," IESE Research Papers D/555, IESE Business School.
    8. Nader Virk & Hilal Butt, 2016. "Specification errors of asset-pricing models for a market characterized by few large capitalization firms," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(1), pages 68-84, January.
    9. Manuel Ammann & Michael Verhofen, 2008. "Testing Conditional Asset Pricing Models Using a Markov Chain Monte Carlo Approach," European Financial Management, European Financial Management Association, vol. 14(3), pages 391-418, June.

    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:eufman:v:5:y:1999:i:1:p:29-42. 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/efmaaea.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.