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Time-varying mixture MEM for realized volatility

Giovanni De Luca,GALLO G. M.-2007-01-01-CINECA IRIS Institutial research information system (Parthenope University of Naples)
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TL;DRAbstract

In this paper, we model the dynamics of realized volatility as a multiplicative error model with a mixture of distributions for the innovation term. The mixture is usually justified to capture the right tail behavior of the innovation more accurately, thus providing a potentially better fit in all the cases where the density forecast of the realized volatility is needed and considerations about its variability are appropriate. The model provides a time-varying volatility of volatility behavior. An application is provided for the Johnson’s and Johnson’s stock for the period 2001-2006.

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In this paper, we model the dynamics of realized volatility as a multiplicative error model with a mixture of distributions for the innovation term. The mixture is usually justified to capture the right tail behavior of the innovation more accurately, thus providing a potentially better fit in all the cases where the density forecast of the realized volatility is needed and considerations about its variability are appropriate. The model provides a time-varying volatility of volatility behavior. An application is provided for the Johnson’s and Johnson’s stock for the period 2001-2006.

Keywords

KurtosisMultiplicative functionEconometricsHeteroscedasticityVolatility (finance)MathematicsAutoregressive conditional heteroskedasticityRealized variance

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