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Minimum Hellinger Distance Estimation of a Univariate GARCH Process

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Listed:
  • Roger Kadjo
  • Ouagnina Hili
  • Aubin N'dri

Abstract

In this paper, we determine the Minimum Hellinger Distance estimator of a stationary GARCH process. We construct an estimator of the parameters based on the minimum Hellinger distance method. Under conditions which ensure the $\phi$-mixing of the GARCH process, we establish the almost sure convergence and the asymptotic normality of the estimator.

Suggested Citation

  • Roger Kadjo & Ouagnina Hili & Aubin N'dri, 2017. "Minimum Hellinger Distance Estimation of a Univariate GARCH Process," Journal of Mathematics Research, Canadian Center of Science and Education, vol. 9(3), pages 80-94, June.
  • Handle: RePEc:ibn:jmrjnl:v:9:y:2017:i:3:p:80-94
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    References listed on IDEAS

    as
    1. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Hellinger distance estimation; GARCH process; $phi$-mixing process; consistence; asymptotic normality;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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