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Improved two-component tests in Beta-Skew-t-EGARCH models

Author

Listed:
  • Fernanda Maria Müller

    (Federal University of Rio Grande do Sul)

  • Fábio M Bayer

    (Federal University of Santa Maria)

Abstract

This work proposes a likelihood ratio test to assist in the selection of the Beta-Skew-t-EGARCH model with one or two volatility components. To improve the performance of the proposed test in small samples, the bootstrap-based likelihood ratio test and the bootstrap Bartlett correction are considered. The finite sample performance of the tests are assessed using Monte Carlo simulations. The numerical evidence favors the bootstrap-based test. The tests are applied to the DAX log-returns. The results demonstrate the practical usefulness of the proposed two-component tests.

Suggested Citation

  • Fernanda Maria Müller & Fábio M Bayer, 2017. "Improved two-component tests in Beta-Skew-t-EGARCH models," Economics Bulletin, AccessEcon, vol. 37(4), pages 2364-2373.
    • Handle: RePEc:ebl:ecbull:eb-17-00319
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    References listed on IDEAS

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    Cited by:

    1. Mohamed Chikhi & Claude Diebolt & Tapas Mishra, 2019. "Measuring Success: Does Predictive Ability of an Asset Price Rest in 'Memory'? Insights from a New Approach," Working Papers 11-19, Association Française de Cliométrie (AFC).
    2. Mohamed CHIKHI & Claude DIEBOLT & Tapas MISHRA, 2019. "Does Predictive Ability of an Asset Price Rest in 'Memory'? Insights from a New Approach," Working Papers of BETA 2019-43, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Mohamed CHIKHI & Claude DIEBOLT & Tapas MISHRA, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers 07-19, Association Française de Cliométrie (AFC).

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    More about this item

    Keywords

    Beta-Skew-t-EGARCH; bootstrap-based test; bootstrap Bartlett correction; likelihood ratio test; two-component test; volatility.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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