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More on Beta as a Random Coefficient

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  • Alexander, Gordon J.
  • Benson, P. George

Abstract

In their article, “Beta as a Random Coefficient,” Fabozzi and Francis [1] present evidence which suggests that beta is a random coefficient for a “significant minority” of NYSE stocks. They obtained their evidence first, by characterizing the market model as a random coefficient model of the type described by Theil and Mennes [7], and second, by estimating its parameters for a sample of NYSE stocks over the period December 1965 through December 1971. This paper describes weaknesses in Fabozzi and Francis' implementation of the estimation procedures of Theil and Mennes [7] and Hildreth and Houck [3]. Improvements are suggested and utilized in an analysis of the returns of 683 NYSE stocks over the period January I960 through December 1971. The results of the analysis indicate that Fabozzi and Francis have overstated the case for beta being a random coefficient of the form described by Theil and Mennes.

Suggested Citation

  • Alexander, Gordon J. & Benson, P. George, 1982. "More on Beta as a Random Coefficient," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 17(1), pages 27-36, March.
    • Handle: RePEc:cup:jfinqa:v:17:y:1982:i:01:p:27-36_01
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    Cited by:

    1. Brooks, Robert D. & Faff, Robert W. & Yew, Kee Ho, 1997. "A new test of the relationship between regulatory change in financial markets and the stability of beta risk of depository institutions," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 197-219, February.
    2. Abdul Rahman & Lawrence Kryzanowski & Ah Boon Sim, 1987. "Systematic Risk In A Purely Random Market Model: Some Empirical Evidence For Individual Public Utilities," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 10(2), pages 143-152, June.
    3. Brooks, Robert D. & Faff, Robert W. & Ariff, Mohamed, 1998. "An investigation into the extent of beta instability in the Singapore stock market," Pacific-Basin Finance Journal, Elsevier, vol. 6(1-2), pages 87-101, May.
    4. Manuel Monge & Luis A. Gil-Alana, 2020. "The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies," Risks, MDPI, vol. 8(4), pages 1-17, December.
    5. Piotr Wdowinski, 2004. "Determinants of Country Beta Risk in Poland," CESifo Working Paper Series 1120, CESifo.
    6. Rua, António & Nunes, Luis C., 2012. "A wavelet-based assessment of market risk: The emerging markets case," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 84-92.
    7. Keith Lam, 1999. "Some evidence on the distribution of beta in Hong Kong," Applied Financial Economics, Taylor & Francis Journals, vol. 9(3), pages 251-262.
    8. Dębski Wiesław & Feder-Sempach Ewa & Świderski Bartosz, 2014. "Intervalling Effect On Estimating The Beta Parameter For The Largest Companies On The WSE," Folia Oeconomica Stetinensia, Sciendo, vol. 14(2), pages 270-286, December.
    9. Sonia Sotoca López, 1994. "Una nota sobre la estimación eficiente de modelos con parámetros cambiantes," Documentos de Trabajo del ICAE 9408, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. M. V. Esteban & E. Ferreira & S. Orbe-Mandaluniz, 2015. "Nonparametric methods for estimating and testing for constant betas in asset pricing models," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2577-2607, May.
    11. Dębski Wiesław & Feder-Sempach Ewa & Świderski Bartosz, 2016. "Beta Stability Over Bull and Bear Market on the Warsaw Stock Exchange," Folia Oeconomica Stetinensia, Sciendo, vol. 16(1), pages 75-92, December.
    12. Syed Mohammad Faisal & Ahmad Khalid Khan & Omar Abdullah Al Aboud, 2018. "Estimating Beta (¦Â) Values of Stocks in the Creation of Diversified Portfolio - A Detailed Study," Applied Economics and Finance, Redfame publishing, vol. 5(3), pages 89-99, May.
    13. K. Giannopoulos, 1995. "Estimating the time Varying Components of international stock markets' risk," The European Journal of Finance, Taylor & Francis Journals, vol. 1(2), pages 129-164.

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