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A nonparametric approach for estimating betas: the smoothed rolling estimator

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  • Maria Victoria Esteban
  • Susan Orbe-Mandaluniz

Abstract

In this study an alternative nonparametric estimator to the Fama and MacBeth approach for the Capital Asset Pricing Model (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 favourable to the CAPM.

Suggested Citation

  • Maria Victoria Esteban & Susan Orbe-Mandaluniz, 2010. "A nonparametric approach for estimating betas: the smoothed rolling estimator," Applied Economics, Taylor & Francis Journals, vol. 42(10), pages 1269-1279.
    • Handle: RePEc:taf:applec:v:42:y:2010:i:10:p:1269-1279
    DOI: 10.1080/00036840701721257
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    References listed on IDEAS

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    1. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737.
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    Cited by:

    1. Esteban González, María Victoria & Tusell Palmer, Fernando Jorge, 2009. "Predicting Betas: Two new methods," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    2. Асатуров К.Г., 2015. "Динамические Модели Систематического Риска: Сравнение На Примере Индийского Фондового Рынка," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 51(4), pages 59-75, октябрь.
    3. Mehmet Balcilar & Riza Demirer & Festus V. Bekun, 2021. "Flexible Time-Varying Betas in a Novel Mixture Innovation Factor Model with Latent Threshold," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
    4. 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.
    5. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).
    6. Nieto Domenech, Belén & Orbe Mandaluniz, Susan & Zárraga Alonso, Ainhoa, 2011. "Time-Varying Beta Estimators in the Mexican Emerging Market," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).

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