Please use this identifier to cite or link to this item: https://doi.org/10.1111/1467-9892.00296
Title: Estimating the ARCH parameters by solving linear equations
Authors: Bose, A.
Murherjee, K. 
Keywords: Arch models
Martingale central limit theorem
Quasi maximum likelihood estimation
Stationary and ergodic process
Issue Date: Mar-2003
Citation: Bose, A., Murherjee, K. (2003-03). Estimating the ARCH parameters by solving linear equations. Journal of Time Series Analysis 24 (2) : 127-136. ScholarBank@NUS Repository. https://doi.org/10.1111/1467-9892.00296
Abstract: This paper discusses the asymptotics of two-stage least squares estimator of the parameters of ARCH models. The estimator is easy to obtain since it involves solving two sets of linear equations. At the same time, the estimator has the same asymptotic efficiency as that of the widely used quasi-maximum likelihood estimator. Simulation results show that, even for small sample size, the performance of our estimator compared to the quasi-maximum likelihood estimator is better.
Source Title: Journal of Time Series Analysis
URI: http://scholarbank.nus.edu.sg/handle/10635/105124
ISSN: 01439782
DOI: 10.1111/1467-9892.00296
Appears in Collections:Staff Publications

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