IDEAS home Printed from https://ideas.repec.org/p/hhs/lunewp/2002_019.html
   My bibliography  Save this paper

Cross Sectional Analysis of the Swedish Stock Market

Author

Listed:

Abstract

This paper analyses the ability of beta and other factors, like firm size and book-to-market, to explain cross-sectional variation in average stock returns on the Swedish stock market for the period 1980-1990. We correct for errors in variables problem of the estimated market beta. Since this method takes into account the measurement error we do not have to form portfolios and thereby losing information. We use both separate cross-sectional regressions and a pooled regression model to estimate the risk premiums of the different factors. An Extreme Bounds Analysis is utilised for testing the sensitivity of the estimated coefficients to changes in the set of the included explanatory variables. Since the tests are carried out on realised returns, which presumably are quite noisy approximations of expected returns, we study if beta can systematically explain cross-sectional differences among realised stock returns conditional on the sign of the realised market excess return. Our results show that the coefficient for beta is never significantly different from zero, but the estimates differ across the methods mentioned above. However, we find that beta is priced differently in periods with positive versus periods with negative realised market return. In the Extreme Bounds Analysis, the coefficient for the size variable is always significantly negative.

Suggested Citation

  • Asgharian, Hossein & Hansson, Björn, 2002. "Cross Sectional Analysis of the Swedish Stock Market," Working Papers 2002:19, Lund University, Department of Economics.
    • Handle: RePEc:hhs:lunewp:2002_019
    as

    Download full text from publisher

    File URL: http://project.nek.lu.se/publications/workpap/Papers/WP02_19.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Fama, Eugene F & French, Kenneth R, 1992. " The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. " Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    3. Pettengill, Glenn N. & Sundaram, Sridhar & Mathur, Ike, 1995. "The Conditional Relation between Beta and Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(01), pages 101-116, March.
    4. Jagannathan, Ravi & Wang, Zhenyu, 1996. " The Conditional CAPM and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 51(1), pages 3-53, March.
    5. Steven L. Heston & K. Geert Rouwenhorst & Roberto E. Wessels, 1999. "The Role of Beta and Size in the Cross-Section of European Stock Returns," European Financial Management, European Financial Management Association, vol. 5(1), pages 9-27.
    6. Dusan Isakov, 1999. "Is beta still alive? Conclusive evidence from the Swiss stock market," The European Journal of Finance, Taylor & Francis Journals, vol. 5(3), pages 202-212.
    7. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Cross sectional model; Swedish stock returns; errors in variables; extreme bound analysis;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:hhs:lunewp:2002_019. 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: (David Edgerton). General contact details of provider: http://edirc.repec.org/data/delunse.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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.