GMM and QML asymptotic standard deviations in stochastic volatility models: Comments on Ruiz (1994)

Torben G. Andersen; Bent E. Sørensen

doi:10.1016/0304-4076(95)01799-2

GMM and QML asymptotic standard deviations in stochastic volatility models: Comments on Ruiz (1994)

Torben G. Andersen^*, Bent E. Sørensen

^*Corresponding author for this work

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Abstract

This note describes a practical procedure for arbitrarily precise calculation of the GMM asymptotic standard deviations for the parameters in a stochastic volatility model. Earlier results provided by Ruiz (1994) are flawed on this point. The correct numbers are in some cases orders of magnitude different from the prior published figures. The implications regarding the relative efficiency between GMM and QML estimates are briefly discussed.

Original language	English (US)
Pages (from-to)	397-403
Number of pages	7
Journal	Journal of Econometrics
Volume	76
Issue number	1-2
DOIs	https://doi.org/10.1016/0304-4076(95)01799-2
State	Published - 1997

Keywords

Asymptotic bias
Optimal weighting matrix
Relative efficiency

ASJC Scopus subject areas

Economics and Econometrics

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10.1016/0304-4076(95)01799-2

Cite this

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abstract = "This note describes a practical procedure for arbitrarily precise calculation of the GMM asymptotic standard deviations for the parameters in a stochastic volatility model. Earlier results provided by Ruiz (1994) are flawed on this point. The correct numbers are in some cases orders of magnitude different from the prior published figures. The implications regarding the relative efficiency between GMM and QML estimates are briefly discussed.",

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T2 - Comments on Ruiz (1994)

AU - Andersen, Torben G.

AU - Sørensen, Bent E.

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Y1 - 1997

N2 - This note describes a practical procedure for arbitrarily precise calculation of the GMM asymptotic standard deviations for the parameters in a stochastic volatility model. Earlier results provided by Ruiz (1994) are flawed on this point. The correct numbers are in some cases orders of magnitude different from the prior published figures. The implications regarding the relative efficiency between GMM and QML estimates are briefly discussed.

AB - This note describes a practical procedure for arbitrarily precise calculation of the GMM asymptotic standard deviations for the parameters in a stochastic volatility model. Earlier results provided by Ruiz (1994) are flawed on this point. The correct numbers are in some cases orders of magnitude different from the prior published figures. The implications regarding the relative efficiency between GMM and QML estimates are briefly discussed.

KW - Asymptotic bias

KW - Optimal weighting matrix

KW - Relative efficiency

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ER -

GMM and QML asymptotic standard deviations in stochastic volatility models: Comments on Ruiz (1994)

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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