DocumentCode
577440
Title
Parameters estimator of GARCH(1, 1) process with heavy tailed errors
Author
Chen, Hailong ; You, Chengji ; Chen, Deyun
Author_Institution
School of Computer Science and Technology, Harbin University of Science and Technology, Harbin China
fYear
2012
fDate
18-21 Sept. 2012
Firstpage
1
Lastpage
5
Abstract
This paper studies a modification of quasi-maximum likelihood estimator for GARCH (1, 1) process with the errors, whose squares have regularly varying tail probabilities with the exponent α, α >; 0. We showed that, this estimator is unbiased and asymptotically normal with standard convergence rate of n1/2 regardless of whether the errors are heavy-tailed.
Keywords
computational complexity; maximum likelihood estimation; parameter estimation; GARCH(1,1) process; heavy tailed errors; parameters estimator; quasi-maximum likelihood estimator; tail probabilities; Convergence; Econometrics; Educational institutions; Estimation; Indexes; Random variables; Standards; GARCH process; M-estimator; heavy tails; quasi-maximum likelihood; regular variation;
fLanguage
English
Publisher
ieee
Conference_Titel
Strategic Technology (IFOST), 2012 7th International Forum on
Conference_Location
Tomsk
Print_ISBN
978-1-4673-1772-6
Type
conf
DOI
10.1109/IFOST.2012.6357606
Filename
6357606
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