Showing 1 - 7 of 7
We consider the long memory and leverage properties of a model for the conditional variance of an observable stationary sequence, where the conditional variance is the square of an inhomogeneous linear combination of past values of the observable sequence, with square summable weights. This...
Persistent link: https://www.econbiz.de/10010745453
Smoothed nonparametric estimates of the spectral density matrix at zero frequency have been widely used in econometric inference, because they can consistently estimate the covariance matrix of a partial sum of a possibly dependent vector process. When elements of the vector process exhibit long...
Persistent link: https://www.econbiz.de/10010745476
Persistent link: https://www.econbiz.de/10010746529
Persistent link: https://www.econbiz.de/10010745134
Semiparametric estimates of long memory seem useful in the analysis of long financial time series because they are consistent under much broader conditions than parametric estimates. However, recent large sample theory for semiparametric estimates forbids conditional heteroscedasticity. We show...
Persistent link: https://www.econbiz.de/10010745869
For a particular conditionally heteroscedastic nonlinear (ARCH) process for which the conditional variance of the observable sequence rt is the square of an inhomogeneous linear combination of rs, s < t, we give conditions under which, for integers 1 > 2, r' has long memory autocorrelation and normalized partial sums of ri converge to fractional...</t,>
Persistent link: https://www.econbiz.de/10011071148
Parametric estimation is discussed in a variety of models exhibiting longrange dependence
Persistent link: https://www.econbiz.de/10010745141