Asymptotic normality of the QMLE in the level-effect ARCH model

Publikation: Working paperForskning

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  • Christian Møller Dahl, Danmark
  • Emma M. Iglesias, Michigan State University, USA
  • Institut for Økonomi
In this paper consistency and asymptotic normality of the quasi maximum like-lihood estimator in the level-effect ARCH model of Chan, Karolyi, Longstaff and Sanders (1992) is established. We consider explicitly the case where the parameters of the conditional heteroskedastic process are in the stationary region and discuss carefully how the results can be extended to the region where the conditional heteroskedastic process is nonstationary. The results illustrate that Jensen and Rahbek's (2004a,2004b) approach can be extended further than to traditional ARCH and GARCH models.
OriginalsprogEngelsk
UdgivelsesstedAarhus
UdgiverInstitut for Økonomi, Aarhus Universitet
Antal sider25
StatusUdgivet - 2010

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