Varianza condicional de medias móviles no-lineales

We present a new heteroskedastic conditional variance model using Non-Linear Moving Average as the basis for this specification []. The typical problem of this class of models-i.e., non-invertibility—is solved by means of an intuitive parametric restriction; this allows us to use Maximum Likelihood...

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Main Authors: Daniel Ventosa Santaulària, Alfonso Mendoza Velázquez, Manuel Gómez Zaldívar
Format: Article
Language:English
Published: Universidad Autónoma de Nuevo León, Facultad de Economía 2008-11-01
Series:Ensayos Revista de Economía
Subjects:
Online Access:http://ensayos.uanl.mx/index.php/ensayos/article/view/99
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author Daniel Ventosa Santaulària
Alfonso Mendoza Velázquez
Manuel Gómez Zaldívar
author_facet Daniel Ventosa Santaulària
Alfonso Mendoza Velázquez
Manuel Gómez Zaldívar
author_sort Daniel Ventosa Santaulària
collection DOAJ
description We present a new heteroskedastic conditional variance model using Non-Linear Moving Average as the basis for this specification []. The typical problem of this class of models-i.e., non-invertibility—is solved by means of an intuitive parametric restriction; this allows us to use Maximum Likelihood as the estimation procedure. The statistical properties of the new model are both simple and attractive for empirical purposes in finance: a natural fat-tailed distribution stands out. The Autocorrelation Function of the squared process allows us for identification of the number of lags to be included in the new specification. In addition, we present several Monte Carlo experiments where the properties of the model using finite samples are exhibited. Finally, an empirical application using exchange rates and capital market bonds is shown. ()NLMACHq
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spelling doaj.art-2f5d1b7165f0436985c4976b4b4244632022-12-21T19:59:21ZengUniversidad Autónoma de Nuevo León, Facultad de EconomíaEnsayos Revista de Economía1870-221X2448-84022008-11-0127277Varianza condicional de medias móviles no-linealesDaniel Ventosa SantaulàriaAlfonso Mendoza VelázquezManuel Gómez ZaldívarWe present a new heteroskedastic conditional variance model using Non-Linear Moving Average as the basis for this specification []. The typical problem of this class of models-i.e., non-invertibility—is solved by means of an intuitive parametric restriction; this allows us to use Maximum Likelihood as the estimation procedure. The statistical properties of the new model are both simple and attractive for empirical purposes in finance: a natural fat-tailed distribution stands out. The Autocorrelation Function of the squared process allows us for identification of the number of lags to be included in the new specification. In addition, we present several Monte Carlo experiments where the properties of the model using finite samples are exhibited. Finally, an empirical application using exchange rates and capital market bonds is shown. ()NLMACHqhttp://ensayos.uanl.mx/index.php/ensayos/article/view/99Conditionally Heteroskedastic ModelsVolatilityFat-tailed Distributions.
spellingShingle Daniel Ventosa Santaulària
Alfonso Mendoza Velázquez
Manuel Gómez Zaldívar
Varianza condicional de medias móviles no-lineales
Ensayos Revista de Economía
Conditionally Heteroskedastic Models
Volatility
Fat-tailed Distributions.
title Varianza condicional de medias móviles no-lineales
title_full Varianza condicional de medias móviles no-lineales
title_fullStr Varianza condicional de medias móviles no-lineales
title_full_unstemmed Varianza condicional de medias móviles no-lineales
title_short Varianza condicional de medias móviles no-lineales
title_sort varianza condicional de medias moviles no lineales
topic Conditionally Heteroskedastic Models
Volatility
Fat-tailed Distributions.
url http://ensayos.uanl.mx/index.php/ensayos/article/view/99
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AT alfonsomendozavelazquez varianzacondicionaldemediasmovilesnolineales
AT manuelgomezzaldivar varianzacondicionaldemediasmovilesnolineales