Estimation of k-Factor Gigarch Process: A Monte Carlo Study

Journal article: 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.

Author(s)

Diongue Abdou Ka, Dominique Guegan

Journal
  • Communications in Statistics – Simulation and Computation
Date of publication
  • 2008
Keywords
  • Long memory
  • Gegenbauer polynomial
  • Heteroskedasticity
  • Conditional Sum of Squares
  • Whittle estimation
Pages
  • 2037-2049
Version
  • 1
Volume
  • 37