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Narrow-band analysis of nonstationary processes

Marinucci, D. and Robinson, Peter M. (2001) Narrow-band analysis of nonstationary processes. Annals of Statistics, 29 (4). pp. 947-986. ISSN 0090-5364

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Identification Number: 10.1214/aos/1013699988

Abstract

The behavior of averaged periodograms and cross-periodograms of a broad class of nonstationary processes is studied. The processes include nonstationary ones that are fractional of any order, as well as asymptotically stationary fractional ones. The cross-periodogram can involve two nonstationary processes of possibly different orders, or a nonstationary and an asymptotically stationary one. The averaging takes place either over the whole frequency band, or over one that degenerates slowly to zero frequency as sample size increases. In some cases it is found to make no asymptotic difference, and in particular we indicate how the behavior of the mean and variance changes across the two-dimensional space of integration orders. The results employ only local-to-zero assumptions on the spectra of the underlying weakly stationary sequences. It is shown how the results can be applied in fractional cointegration with unknown integration orders.

Item Type: Article
Official URL: http://www.imstat.org/aos/
Additional Information: Published 2001 © Institute of Mathematical Statistics. LSE has developed LSE Research Online so that users may access research output of the School. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LSE Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. You may freely distribute the URL (http://eprints.lse.ac.uk) of the LSE Research Online website.
Divisions: Economics
Subjects: H Social Sciences > HA Statistics
Date Deposited: 17 Feb 2008
Last Modified: 13 Nov 2024 00:07
URI: http://eprints.lse.ac.uk/id/eprint/303

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