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The ARCH(2) model: Pseudo-maximum estimation and asymptotic results under dependent innovations
Authors:Eugene Kouassi  Patrice Takam Soh  Morvan N. Donfack  Jean Marcelin B. Bosson
Affiliation:1. Resource Economics, West Virginia University, Morgantown, WV, USA;2. Department of Mathematics, University of Montpellier 2, Montpellier, France;3. Department of Economics, University of Laval, Quebec City, Qc, Canada;4. Department of Economics, University Felix Houphouet Boigny (FHB), Abidjan – Cocody, Cote d'Ivoire
Abstract:This paper investigates the pseudo-maximum likelihood (PML) estimation of an ARCH(2) model when the innovations' law belongs to the quadratic exponential family. In addition, the error terms are conditionally independent, but not necessarily dependent. The consistency and asymptotic normality of the PML estimator are obtained by means of martingale techniques.
Keywords:ARCH(2) model  Asymptotic Normality  Consistency  Dependent innovations  Pseudo-maximum likelihood Estimation  Quadratic exponential families
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