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Financial Stylized Facts and the Taylor-Effect in Stochastic Volatility Models

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  • Helena Veiga

    (Department of Statistics)

Abstract

According to the Taylor-Effect the autocorrelations of absolute financial returns are larger than the ones of squared returns. In this work, we analyze in detail, for two different asymmetric stochastic volatility models, how the Taylor-Effect relates to the most important model characteristics: the asymmetry, the volatility persistence and the kurtosis. We also realize Monte Carlo experiments to infer about possible biases of the sample Taylor-Effect and we fit the models to the return series of the Dow Jones.

Suggested Citation

  • Helena Veiga, 2009. "Financial Stylized Facts and the Taylor-Effect in Stochastic Volatility Models," Economics Bulletin, AccessEcon, vol. 29(1), pages 265-276.
    • Handle: RePEc:ebl:ecbull:eb-08c20079
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    References listed on IDEAS

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    10. Pérez, Ana & Ruiz, Esther & Veiga, Helena, 2009. "A note on the properties of power-transformed returns in long-memory stochastic volatility models with leverage effect," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3593-3600, August.
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    Citations

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    Cited by:

    1. Haas Markus, 2010. "Skew-Normal Mixture and Markov-Switching GARCH Processes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-56, September.
    2. Helena Veiga, 2009. "Comment on "Financial Stylized Facts and the Taylor-Effect in Stochastic Volatility Models" by H. Veiga," Economics Bulletin, AccessEcon, vol. 29(4), pages 2730-2731.
    3. Dinghai Xu & John Knight, 2013. "Stochastic volatility model under a discrete mixture-of-normal specification," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 216-239, April.
    4. Haas, Markus, 2009. "Persistence in volatility, conditional kurtosis, and the Taylor property in absolute value GARCH processes," Statistics & Probability Letters, Elsevier, vol. 79(15), pages 1674-1683, August.

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    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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