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Detection of non-constant long memory parameter

Authors :
Lavancier, Frédéric
Leipus, Remigijus
Philippe, Anne
Surgailis, Donatas
Publication Year :
2011

Abstract

This article deals with detection of nonconstant long memory parameter in time series. The null hypothesis presumes stationary or nonstationary time series with constant long memory parameter, typically an I(d) series with d>-.5. The alternative corresponds to an increase in persistence and includes in particular an abrupt or gradual change from I(d_1) to I(d_2).

Subjects

Subjects :
Mathematics - Statistics Theory

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1110.5138
Document Type :
Working Paper