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Volatility bias in the GARCH model: a simulation study

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Author Info
Eduardo Acosta González ()
Fernando Fernández Rodríguez ()
Jorge Pérez Rodríguez ()
Abstract

In this paper we show that the conditional variance of the GARCH(1,1) model is a measure that usually overstimates the magnitude of volatility in time series.

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Paper provided by Facultad de Ciencias Económicas de la ULPGC in its series Documentos de trabajo conjunto ULL-ULPGC with number 2002-02.

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Length: 11 pages
Date of creation: 2002
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Handle: RePEc:can:series:2002-02

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Related research
Keywords: GARCH models prediction bias

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  1. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April. [Downloadable!] (restricted)
  2. Engle, Robert F & Gonzalez-Rivera, Gloria, 1991. "Semiparametric ARCH Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(4), pages 345-59, October.
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