Robust estimates for GARCH models
In this paper we present two robust estimates for GARCH models. The first is defined by the minimization of a conveniently modified likelihood and the second is similarly defined, but includes an additional mechanism for restricting the propagation of the effect of one outlier on the next estimated...
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2008
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03783758_v138_n10_p2918_Muler http://hdl.handle.net/20.500.12110/paper_03783758_v138_n10_p2918_Muler |
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paper:paper_03783758_v138_n10_p2918_Muler2023-06-08T15:39:39Z Robust estimates for GARCH models GARCH models M-estimates Outliers Robust estimation In this paper we present two robust estimates for GARCH models. The first is defined by the minimization of a conveniently modified likelihood and the second is similarly defined, but includes an additional mechanism for restricting the propagation of the effect of one outlier on the next estimated conditional variances. We study the asymptotic properties of our estimates proving consistency and asymptotic normality. A Monte Carlo study shows that the proposed estimates compare favorably with respect to other robust estimates. Moreover, we consider some real examples with financial data that illustrate the behavior of these estimates. © 2007 Elsevier B.V. All rights reserved. 2008 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03783758_v138_n10_p2918_Muler http://hdl.handle.net/20.500.12110/paper_03783758_v138_n10_p2918_Muler |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
GARCH models M-estimates Outliers Robust estimation |
spellingShingle |
GARCH models M-estimates Outliers Robust estimation Robust estimates for GARCH models |
topic_facet |
GARCH models M-estimates Outliers Robust estimation |
description |
In this paper we present two robust estimates for GARCH models. The first is defined by the minimization of a conveniently modified likelihood and the second is similarly defined, but includes an additional mechanism for restricting the propagation of the effect of one outlier on the next estimated conditional variances. We study the asymptotic properties of our estimates proving consistency and asymptotic normality. A Monte Carlo study shows that the proposed estimates compare favorably with respect to other robust estimates. Moreover, we consider some real examples with financial data that illustrate the behavior of these estimates. © 2007 Elsevier B.V. All rights reserved. |
title |
Robust estimates for GARCH models |
title_short |
Robust estimates for GARCH models |
title_full |
Robust estimates for GARCH models |
title_fullStr |
Robust estimates for GARCH models |
title_full_unstemmed |
Robust estimates for GARCH models |
title_sort |
robust estimates for garch models |
publishDate |
2008 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03783758_v138_n10_p2918_Muler http://hdl.handle.net/20.500.12110/paper_03783758_v138_n10_p2918_Muler |
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1768545882240712704 |