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Автор Kristensen, Dennis
Автор Linton, Oliver
Дата выпуска 2006
dc.description We propose a closed-form estimator for the linear GARCH(1,1) model. The estimator has the advantage over the often used quasi-maximum likelihood estimator (QMLE) that it can be easily implemented and does not require the use of any numerical optimization procedures or the choice of initial values of the conditional variance process. We derive the asymptotic properties of the estimator, showing T<sup>(κ−1)/κ</sup>-consistency for some κ ∈ (1,2) when the fourth moment exists and -asymptotic normality when the eighth moment exists. We demonstrate that a finite number of Newton–Raphson iterations using our estimator as starting point will yield asymptotically the same distribution as the QMLE when the fourth moment exists. A simulation study confirms our theoretical results.The first authorʼs research was supported by the Shoemaker Foundation. The second authorʼs research was supported by the Economic and Social Science Research Council of the United Kingdom.
Издатель Cambridge University Press
Название A CLOSED-FORM ESTIMATOR FOR THE GARCH(1,1) MODEL
DOI 10.1017/S0266466606060142
Electronic ISSN 1469-4360
Print ISSN 0266-4666
Журнал Econometric Theory
Том 22
Первая страница 323
Последняя страница 337
Аффилиация Kristensen Dennis; University of Wisconsin-Madison; University of Wisconsin-Madison
Аффилиация Linton Oliver; London School of Economics; London School of Economics
Выпуск 2

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