Stationarity and memory of ARCH(∞) models

被引:32
作者
Zaffaroni, P [1 ]
机构
[1] Banca Italia, Serv Studi, I-00184 Rome, Italy
关键词
D O I
10.1017/S0266466604201062
中图分类号
F [经济];
学科分类号
02 ;
摘要
We establish the necessary and sufficient conditions for covariance stationarity of ARCH(infinity), for both the levels and the squares. The result applies to any form of the conditional variance coefficients. This includes GARCH(p,q) and also specifications with hyperbolically decaying coefficients, such as the autoregressive coefficients of the autoregressive fractionally integrated moving average model. The covariance stationarity condition for the levels rules out long memory in the squares.
引用
收藏
页码:147 / 160
页数:14
相关论文
共 15 条
[1]  
BOLLERSLEV T, 1986, J ECONOMETRICS, V31, P302
[2]  
Brockwell P. J., 1987, TIME SERIES THEORY M
[3]   AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY WITH ESTIMATES OF THE VARIANCE OF UNITED-KINGDOM INFLATION [J].
ENGLE, RF .
ECONOMETRICA, 1982, 50 (04) :987-1007
[4]   Stationary ARCH models: Dependence structure and central limit theorem [J].
Giraitis, L ;
Kokoszka, P ;
Leipus, R .
ECONOMETRIC THEORY, 2000, 16 (01) :3-22
[5]   Whittle estimation of arch models [J].
Giraitis, L ;
Robinson, PM .
ECONOMETRIC THEORY, 2001, 17 (03) :608-631
[6]   Fourth moment structure of the GARCH(p,q) process [J].
He, CL ;
Teräsvirta, T .
ECONOMETRIC THEORY, 1999, 15 (06) :824-846
[7]  
HONG Y, 1997, J TIME SER ANAL, V18, P253
[8]   The second moment and the autocovariance function of the squared errors of the GARCH model [J].
Karanasos, M .
JOURNAL OF ECONOMETRICS, 1999, 90 (01) :63-76
[9]   Necessary and sufficient moment conditions for the GARCH(r,s) and asymmetric power GARCH(r,s) models [J].
Ling, SQ ;
McAleer, M .
ECONOMETRIC THEORY, 2002, 18 (03) :722-729
[10]   On the probabilistic properties of a double threshold ARMA conditional heteroskedastic model [J].
Ling, SQ .
JOURNAL OF APPLIED PROBABILITY, 1999, 36 (03) :688-705