• Media type: E-Book
  • Title: A Closed-Form Asymptotic Variance-Covariance Matrix for the Quasi-Maximum Likelihood Estimator of the Garch(1,1) Model
  • Contributor: Ma, Jun [VerfasserIn]
  • imprint: [S.l.]: SSRN, 2008
  • Extent: 1 Online-Ressource (12 p)
  • Language: English
  • DOI: 10.2139/ssrn.889461
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 1, 2008 erstellt
  • Description: This paper presents a closed-form asymptotic variance-covariance matrix of the Quasi-Maximum Likelihood Estimator (QMLE) for the GARCH(1,1) model. The robust 'sandwich' asymptotic variance matrix is shown to be a product of the function of higher moments of innovation and the inverse of negative expected Hessian, whose closed-form in terms of only model parameters is then derived via a local approximation. Taking inverse of it, the variance-covariance matrix is readily obtained. A Monte Carlo simulation experiment demonstrates that this analytical formula works well for both normal and non-normal innovations in admissible parameter regions
  • Access State: Open Access