We establish consistency and asymptotic normality of the quasi‐maximum likelihood estimator in the linear ARCH model. Contrary to the existing literature, we allow the parameters to be in the region where no stationary version of the process exists. This implies that the estimator is always asymptotically normal.
MLA
Jensen, Søren Tolver, and Anders Rahbek. “Asymptotic Normality of the QMLE Estimator of ARCH in the Nonstationary Case.” Econometrica, vol. 72, .no 2, Econometric Society, 2004, pp. 641-646, https://doi.org/10.1111/j.1468-0262.2004.00504.x
Chicago
Jensen, Søren Tolver, and Anders Rahbek. “Asymptotic Normality of the QMLE Estimator of ARCH in the Nonstationary Case.” Econometrica, 72, .no 2, (Econometric Society: 2004), 641-646. https://doi.org/10.1111/j.1468-0262.2004.00504.x
APA
Jensen, S. T., & Rahbek, A. (2004). Asymptotic Normality of the QMLE Estimator of ARCH in the Nonstationary Case. Econometrica, 72(2), 641-646. https://doi.org/10.1111/j.1468-0262.2004.00504.x
We are deeply saddened by the passing of Kate Ho, the John L. Weinberg Professor of Economics and Business Policy at Princeton University and a Fellow of the Econometric Society. Kate was a brilliant IO economist and scholar whose impact on the profession will resonate for many years to come.
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