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Nonparametric estimation betas in the Market Model

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  • Esteban González, María Victoria
  • Orbe Mandaluniz, Susan

Abstract

In this study an alternative nonparametric estimator to the Fama and MacBeth approach for the CAPM estimation is proposed. Betas and risk premiums are estimated simultaneously in order to increase the explanatory power of the proxy for betas. A data driven method is proposed for selecting the smoothness degrees, which are directly related to the subsample sizes. Based on this relation, the traditional estimator is obtained as a particular case. Contrary to the results obtained in other studies our empirical evidence for Spanish market data is favorable to the CAPM.

Suggested Citation

  • Esteban González, María Victoria & Orbe Mandaluniz, Susan, 2006. "Nonparametric estimation betas in the Market Model," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    • Handle: RePEc:ehu:biltok:5644
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    References listed on IDEAS

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    Keywords

    smoothed rolling; betas; CAPM;
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