Estimation of k-Factor Gigarch Process: A Monte Carlo Study
Article dans une revue: In this paper, we discuss the parameter estimation for a k-factor generalized long memory process with conditionally heteroskedastic noise. Two estimation methods are proposed. The first method is based on the conditional distribution of the process and the second is obtained as an extension of Whittle's estimation approach. For comparison purposes, Monte Carlo simulations are used to evaluate the finite sample performance of these estimation techniques, using four different conditional distribution functions.
Auteur(s)
Diongue Abdou Ka, Dominique Guegan
Revue
- Communications in Statistics – Simulation and Computation
Date de publication
- 2008
Mots-clés
- Long memory
- Gegenbauer polynomial
- Heteroskedasticity
- Conditional Sum of Squares
- Whittle estimation
Pages
- 2037-2049
URL de la notice HAL
Version
- 1
Volume
- 37