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Misspecification testing and robust estimation of the market model: estimating betas for the FT-SE industry baskets

Author

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  • Terence Mills
  • J. Andrew Coutts

Abstract

Using daily data on the London Stock Exchange's FT-SE industry baskets, this paper subjects the market model to a set of rigorous specification tests designed to assess its statistical adequacy in the face of possible model non-linearity and autocorrelation, heteroscedasticity and, in particular, non-normality of residuals. It then utilizes robust methods of estimation to provide valid estimates of the model's parameters in the face of such misspecification. It is found that robust estimation usually provides betas that are lower than those estimated by conventional ordinary least squares.

Suggested Citation

  • Terence Mills & J. Andrew Coutts, 1996. "Misspecification testing and robust estimation of the market model: estimating betas for the FT-SE industry baskets," The European Journal of Finance, Taylor & Francis Journals, vol. 2(4), pages 319-331.
    • Handle: RePEc:taf:eurjfi:v:2:y:1996:i:4:p:319-331
    DOI: 10.1080/13518479600000012
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    Citations

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    Cited by:

    1. Raphael Markellos & Terence Mills, 2003. "Asset pricing dynamics," The European Journal of Finance, Taylor & Francis Journals, vol. 9(6), pages 533-556.
    2. N. Groenewold & P. Fraser, 1999. "Violation of the IID-Normal Assumption: Effects on tests of asset-pricing models using Australian data," Economics Discussion / Working Papers 99-12, The University of Western Australia, Department of Economics.
    3. Groenewold, Nicolaas & Fraser, Patricia, 2001. "Tests of asset-pricing models: how important is the iid-normal assumption?," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 427-449, September.
    4. R. Douglas Martin & Daniel Z. Xia, 2022. "Efficient bias robust regression for time series factor models," Journal of Asset Management, Palgrave Macmillan, vol. 23(3), pages 215-234, May.
    5. Groenewold, Nicolaas & Fraser, Patricia, 2002. "Violation of the iid-normal assumption: Effects on tests of asset-pricing models using Australian data," International Review of Financial Analysis, Elsevier, vol. 11(4), pages 491-510.
    6. Bert Scholtens & Wijtze Peenstra, 2009. "Scoring on the stock exchange? The effect of football matches on stock market returns: an event study," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3231-3237.
    7. T. C. Mills & J. V. Jordanov, 2003. "The size effect and the random walk hypothesis: evidence from the London Stock Exchange using Markov Chains," Applied Financial Economics, Taylor & Francis Journals, vol. 13(11), pages 807-815.
    8. J. Andrew Coutts & Terence Mills & Jennifer Roberts, 1997. "Time series and cross-section parameter stability in the market model: the implications for event studies," The European Journal of Finance, Taylor & Francis Journals, vol. 3(3), pages 243-259.
    9. N. Groenewold & P. Fraser, 1998. "Tests of Asset-pricing Models: How important is the IID-normal assumptions?," Economics Discussion / Working Papers 98-20, The University of Western Australia, Department of Economics.

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