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A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction

Author

Listed:
  • Bao, Te
  • Diks, Cees
  • Li, Hao
Abstract
We estimate the CAPM model on European stock market data, allowing for asymmetric and fat-tailed return distributions using independent and identically asymmetric power distributed (IIAPD) innovations. The results indicate that the generalized CAPM with IIAPD errors has desirable properties. It is substantially less likely to be rejected than the traditional CAPM with normally distributed errors and, moreover, backtests show that portfolios constructed using IIAPD errors outperform the portfolio constructed with normally distributed errors in terms of commonly-used performance measures.

Suggested Citation

  • Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.
  • Handle: RePEc:eee:ecmode:v:68:y:2018:i:c:p:611-621
    DOI: 10.1016/j.econmod.2017.03.035
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    References listed on IDEAS

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    4. Manuel Galea & David Cademartori & Roberto Curci & Alonso Molina, 2020. "Robust Inference in the Capital Asset Pricing Model Using the Multivariate t -distribution," JRFM, MDPI, vol. 13(6), pages 1-22, June.

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    More about this item

    Keywords

    CAPM; Non-Gaussian distribution; Asymmetric fat-tailed distributions; Minimum variance portfolio;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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