EconPapers    
Economics at your fingertips  
 

M-ESTIMATION IN GARCH MODELS

Kanchan Mukherjee

Econometric Theory, 2008, vol. 24, issue 06, pages 1530-1553

Abstract: This paper derives asymptotic normality of a class of M-estimators in the generalized autoregressive conditional heteroskedastic (GARCH) model. The class of estimators includes least absolute deviation and Huber's estimator in addition to the well-known quasi maximum likelihood estimator. For some estimators, the asymptotic normality results are obtained only under the existence of fractional unconditional moment assumption on the error distribution and some mild smoothness and moment assumptions on the score function.

Date: 2008

Downloads: (external link)
http://journals.cambridge.org/abstract_S0266466608080602 link to article abstract page (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:cup:etheor:v:24:y:2008:i:06:p:1530-1553_08

Access Statistics for this article

More articles in Econometric Theory from Cambridge University Press
Address: The Edinburgh Building, Shaftesbury Road, Cambridge CB2 2RU UK
Series data maintained by Mike Eden ().

 
Page updated 2009-11-23
Handle: RePEc:cup:etheor:v:24:y:2008:i:06:p:1530-1553_08