EconPapers    
Economics at your fingertips  
 

Test for Covariance Stationarity and White Noise with an Application to euro/us dollar exchange rate

Ibrahim Ahamada () and Mohamed Boutahar
Additional contact information
Ibrahim Ahamada: GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, EUREQUA - Equipe Universitaire de Recherche en Economie Quantitative - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique

Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL

Abstract: This paper proposes two non parametric tests for stationarity and white noise against the alternative of time-varying covariance structure with an application to euro/US dollar exchange rate. These tests are based on stability of evolutionary spectral density of the process. Graphical methods using the size and power, confirm the efficiency of our approach when compared with other stationarity tests, especially when data are non stationary with an approximately constant variance.

Keywords: Covariance stationarity; Time spectral density (search for similar items in EconPapers)
Date: 2002-10
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Published in Economics Letters, 2002, 77 (2), pp.177-186. ⟨10.1016/S0165-1765(02)00123-4⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
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:hal:cesptp:halshs-00272869

DOI: 10.1016/S0165-1765(02)00123-4

Access Statistics for this paper

More papers in Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-19
Handle: RePEc:hal:cesptp:halshs-00272869