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On the Estimation and Stability of Beta


  • Alexander, Gordon J.
  • Chervany, Norman L.


Beta coefficients were initially defined by Sharpe [11] as the slope term in the simple linear regression function where the rate of return on a market index was the independent variable and a security's rate of return was the dependent variable. As indicated by Brenner and Smidt [4], accurate estimation of beta coefficients is important for at least two reasons. First, they are important for understanding risk-return relationships in capital market theory. Second, they are important for use in making investment decisions. Some confusion has appeared, however, in recent research regarding both the optimal estimation interval and the intertemporal stability of beta coefficients. The purpose of this paper is to examine this confusion and present new evidence on the estimation and stability of beta.

Suggested Citation

  • Alexander, Gordon J. & Chervany, Norman L., 1980. "On the Estimation and Stability of Beta," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(1), pages 123-137, March.
  • Handle: RePEc:cup:jfinqa:v:15:y:1980:i:01:p:123-137_00

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    Cited by:

    1. C.Y. Kwan, Clarence, 1999. "A note on market-neutral portfolio selection," Journal of Banking & Finance, Elsevier, vol. 23(5), pages 773-800, May.
    2. Claus VISTESEN, 2009. "Carry Trade Fundamentals And The Financial Crisis 2007-2010," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(2(8)_ Sum).
    3. Koch, Nicolas & Bassen, Alexander, 2013. "Valuing the carbon exposure of European utilities. The role of fuel mix, permit allocation and replacement investments," Energy Economics, Elsevier, vol. 36(C), pages 431-443.
    4. Alan Gardner & George A. Matysiak, 2006. "Systematic Property Risk: Quantifying Uk Property Betas 1983-2005," ERES eres2006_197, European Real Estate Society (ERES).
    5. Vistesen, Claus, 2008. "Of Low Yielders and Carry Trading – the JPY and CHF as Market Risk Sentiment Gauges," MPRA Paper 9952, University Library of Munich, Germany.
    6. J. C. Matallin & A. Fernandez-Izquierdo, 2003. "Passive timing effect in portfolio management," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1829-1837.
    7. Roger P. Bey, 1983. "The Market Model As An Appropriate Description Of The Stochastic Process Generating Security Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 6(4), pages 275-288, December.
    8. Kyre Dane Lahtinen & Chris M. Lawrey & Kenneth J. Hunsader, 2018. "Beta dispersion and portfolio returns," Journal of Asset Management, Palgrave Macmillan, vol. 19(3), pages 156-161, May.
    9. Buckland, Roger & Fraser, Patricia, 2002. "The scale and patterns of abnormal returns to equity investment in UK electricity distribution," Global Finance Journal, Elsevier, vol. 13(1), pages 39-62.
    10. Maik Eisenbeiss & Goran Kauermann & Willi Semmler, 2007. "Estimating Beta-Coefficients of German Stock Data: A Non-Parametric Approach," The European Journal of Finance, Taylor & Francis Journals, vol. 13(6), pages 503-522.
    11. Sibel Celik, 2013. "Testing the Stability of Beta: A Sectoral Analysis in Turkish Stock Market," Journal of Economics and Behavioral Studies, AMH International, vol. 5(1), pages 18-23.
    12. López-Herrera, Francisco & Valencia-Herrera, Humberto, 2016. "Hacia un Modelo de Valuación de Activos de Capital para México: Análisis de Activos Individuales con Coeficientes Variantes en el Tiempo," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(22), pages 75-103, primer se.
    13. Dimitrios Dadakas & Christos Karpetis & Athanasios Fassas & Erotokritos Varelas, 2016. "Sectoral Differences in the Choice of the Time Horizon during Estimation of the Unconditional Stock Beta," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 4(4), pages 1-13, December.
    14. N. Groenewold & P. Fraser, 1999. "Forecasting Beta: How well does the 'five year rule of thumb' do?," Economics Discussion / Working Papers 99-01, The University of Western Australia, Department of Economics.

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