EconPapers    
Economics at your fingertips  
 

Estimating ARCH Models when the Coefficients are Allowed to be Equal to Zero

Christian Francq () and Jean-Michel Zakoïan
Additional contact information
Christian Francq: CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - GENES - Groupe des Écoles Nationales d'Économie et Statistique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - GENES - Groupe des Écoles Nationales d'Économie et Statistique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique, IP Paris - Institut Polytechnique de Paris
Jean-Michel Zakoïan: CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - GENES - Groupe des Écoles Nationales d'Économie et Statistique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - GENES - Groupe des Écoles Nationales d'Économie et Statistique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: In order to be consistent with volatility processes, the autoregressive conditional heteroscedastic (ARCH) models are constrained to have nonnegative coefficients. The estimators incorporating these constraints possess non standard asymptotic distributions when the true parameter has zero coefficients. This situation, where the parameter is on the boundary of the parameter space, must be considered to derive the critical values of tests that one or several ARCH coefficients are equal to zero. In this paper we compare the asymptotic theoretical properties, as well as the finite sample behavior, of the main estimation methods in this framework.

Date: 2016-04-03
References: Add references at CitEc
Citations:

Published in Austrian Journal of Statistics, 2016, 37 (1), ⟨10.17713/ajs.v37i1.284⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05417906

DOI: 10.17713/ajs.v37i1.284

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-12-23
Handle: RePEc:hal:journl:hal-05417906