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Estimation Of A Semiparametric Igarch(1,1) Model

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  • Kim, Woocheol
  • Linton, Oliver

Abstract

We propose a semiparametric IGARCH model that allows for persistence in variance but also allows for more flexible functional form. We assume that the difference of the squared process is weakly stationary. We propose an estimation strategy based on the nonparametric instrumental variable method. We establish the rate of convergence of our estimator.

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  • Kim, Woocheol & Linton, Oliver, 2011. "Estimation Of A Semiparametric Igarch(1,1) Model," Econometric Theory, Cambridge University Press, vol. 27(3), pages 639-661, June.
    • Handle: RePEc:cup:etheor:v:27:y:2011:i:03:p:639-661_00
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    Cited by:

    1. Till Strohsal & Enzo Weber, 2014. "Mean-variance cointegration and the expectations hypothesis," Quantitative Finance, Taylor & Francis Journals, vol. 14(11), pages 1983-1997, November.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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