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The security market plane

Author

Listed:
  • Bernard Bollen
Abstract
The relation between market risk and asset returns can be modelled with the Security Market Line (SML), a positive linear relation between expected excess asset returns and the asset's β. Pettengill et al. (1995) make the case that tests of β must be conditioned upon excess market returns to obtain meaningful results. This study proceeds from and extends the work of Pettengill et al. (1995), and in the process introduces the notion of the Security Market Plane (SMP). The SMP is a conditional relation between expected excess asset returns, β and realized excess market returns and is derived directly from the market model. Econometric testing on equities traded at the Australian Securities Exchange (ASX) based on a model motivated by the SMP offers strong evidence of the relevance of β to asset returns. The analysis does not reject the hypothesis that factors other than the market portfolio may be relevant to excess portfolio returns.

Suggested Citation

  • Bernard Bollen, 2010. "The security market plane," Applied Financial Economics, Taylor & Francis Journals, vol. 20(15), pages 1231-1240.
  • Handle: RePEc:taf:apfiec:v:20:y:2010:i:15:p:1231-1240
    DOI: 10.1080/09603101003781448
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    References listed on IDEAS

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    1. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    2. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    3. 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.
    4. 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(1), pages 101-116, March.
    5. Blume, Marshall E & Friend, Irwin, 1973. "A New Look at the Capital Asset Pricing Model," Journal of Finance, American Finance Association, vol. 28(1), pages 19-33, March.
    6. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    7. repec:bla:jfinan:v:53:y:1998:i:6:p:1975-1999 is not listed on IDEAS
    8. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    9. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    10. Roll, Richard, 1977. "A critique of the asset pricing theory's tests Part I: On past and potential testability of the theory," Journal of Financial Economics, Elsevier, vol. 4(2), pages 129-176, March.
    11. Black, Fischer, 1972. "Capital Market Equilibrium with Restricted Borrowing," The Journal of Business, University of Chicago Press, vol. 45(3), pages 444-455, July.
    12. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    13. Faff, Robert, 2001. "A Multivariate Test of a Dual-Beta CAPM: Australian Evidence," The Financial Review, Eastern Finance Association, vol. 36(4), pages 157-174, November.
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    Cited by:

    1. Bernard Bollen & Philip Gharghori, 2016. "How is β related to asset returns?," Applied Economics, Taylor & Francis Journals, vol. 48(21), pages 1925-1935, May.
    2. Salvatore J. Terregrossa & Veysel Eraslan, 2016. "An analysis of the relation between return and beta for portfolios of Turkish equities," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1168501-116, December.
    3. Salvatore J. Terregrossa & Veysel Eraslan, 2016. "Negative Currency-Risk-Exposure for Turkish Equities," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 4(2), pages 12-17.

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