Estimation of the memory parameter by fitting fractionally differenced autoregressive models
Estimation of the memory parameter, d, by fitting a fractionally differenced autoregression of order p, where p approaches infinity simultaneously with the observed series length, n, is examined. Under some conditions on growth of p with respect to n and on the short-memory component, which admits an infinite autoregressive representation with coefficients aj, the estimator is shown to be consistent and asymptotically normal, where p may be taken to be proportional to logn. The joint asymptotic distribution of the estimators of d and of the aj is also derived.
Year of publication: |
2006
|
---|---|
Authors: | Bhansali, R.J. ; Giraitis, L. ; Kokoszka, P.S. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 97.2006, 10, p. 2101-2130
|
Publisher: |
Elsevier |
Subject: | Long memory Autoregressive estimation |
Saved in:
Saved in favorites
Similar items by person
-
Approximations and limit theory for quadratic forms of linear processes
Bhansali, R.J., (2007)
-
Convergence of quadratic forms with nonvanishing diagonal
Bhansali, R.J., (2007)
-
Bhansali, R.J., (2002)
- More ...