This paper investigates the so-called one-step local quasi-maximum likelihood estimator for the unit root process with GARCH(1,1) errors. When the scaled conditional errors (the ratio of the disturbance to the conditional standard deviation) follow a symmetric distribution, the asymptotic distribution of the estimated unit root is derived only under the second-order moment condition. It is shown that this distribution is a functional of a bivariate Brownian motion as in Ling and Li (1998, Annals of Statistics 26, 84-125) and can be used to construct the unit root test
This research was supported by the 2018 Kyoto University Institute of Economic Research Joint Usage ...
AbstractThe asymptotic distribution of the quasi-maximum likelihood (QML) estimator is established f...
This paper considers a class of semiparametric models being the sum of a nonparametric trend functio...
This paper considers a local least absolute deviation estimation for unit root processes with genera...
Least squares (LS) and maximum likelihood (ML) estimation are con-sidered for unit root processes wi...
Least squares (LS) and maximum likelihood (ML) estimation are considered for unit root processes wit...
This paper considers a local least absolute deviation estimation for unit root processes with genera...
In this paper, we derive the asymptotic distributions of Dickey-Fuller tests for unit root processes...
This paper investigates the sampling behavior of the quasi-maximum likelihood estimator of the Gauss...
This paper considers tests for a unit root when the innovations follow a near-integrated GARCH proce...
In this paper, we established the consistency and asymptotic distribution of estimation of parameter...
This paper studies the estimation of a semi-strong GARCH(1,1) model when it does not have a stationa...
This paper studies the estimation of a semi-strong GARCH(1,1) model when it does not have a stationa...
The asymptotic distribution of the quasi-maximum likelihood (QML) estimator for generalized autoreg...
This paper studies the estimation of a semi-strong GARCH(l, 1) model when it does not have a station...
This research was supported by the 2018 Kyoto University Institute of Economic Research Joint Usage ...
AbstractThe asymptotic distribution of the quasi-maximum likelihood (QML) estimator is established f...
This paper considers a class of semiparametric models being the sum of a nonparametric trend functio...
This paper considers a local least absolute deviation estimation for unit root processes with genera...
Least squares (LS) and maximum likelihood (ML) estimation are con-sidered for unit root processes wi...
Least squares (LS) and maximum likelihood (ML) estimation are considered for unit root processes wit...
This paper considers a local least absolute deviation estimation for unit root processes with genera...
In this paper, we derive the asymptotic distributions of Dickey-Fuller tests for unit root processes...
This paper investigates the sampling behavior of the quasi-maximum likelihood estimator of the Gauss...
This paper considers tests for a unit root when the innovations follow a near-integrated GARCH proce...
In this paper, we established the consistency and asymptotic distribution of estimation of parameter...
This paper studies the estimation of a semi-strong GARCH(1,1) model when it does not have a stationa...
This paper studies the estimation of a semi-strong GARCH(1,1) model when it does not have a stationa...
The asymptotic distribution of the quasi-maximum likelihood (QML) estimator for generalized autoreg...
This paper studies the estimation of a semi-strong GARCH(l, 1) model when it does not have a station...
This research was supported by the 2018 Kyoto University Institute of Economic Research Joint Usage ...
AbstractThe asymptotic distribution of the quasi-maximum likelihood (QML) estimator is established f...
This paper considers a class of semiparametric models being the sum of a nonparametric trend functio...