Spectral Analysis as a Tool for Financial Policy: An Analysis of the Short-End of the British Term Structure

Andrew Hughes Hallett and Christian Richter

Computational Economics, 2004, vol. 23, issue 3, 288 pages

Abstract: In this paper, we show how to derive the spectra and cross-spectra of economic time series from an underlying econometric or VAR model. This allows us to conduct a proper frequency analysis evaluation of economic and financial variables on a reduced sample of data, without it being ruled out by the large sample requirements of direct spectral estimation. We show, in particular, how this can be done for time-varying models and time-varying spectra. We use our techniques to show how the behaviour of British interest rates changed during and following the ERM crisis of 1992/3.

Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (25)

Downloads: (external link)
http://journals.kluweronline.com/issn/0927-7099/contents (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: Spectral Analysis as a Tool for Financial Policy: An Analysis of the Short-End of the British Term Structure (2001)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:23:y:2004:i:3:p:271-288

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().