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Detection of non-constant long memory parameter

Abstract

This article deals with detection of non-constant long memory parameter in time series. The null hypothesis includes stationary or nonstationary time series with constant long memory parameter, in particular I(d)I(d) series, d>.5d>-.5. The alternative corresponds to a change in the long memory parameter and gathers in particular an abrupt or gradual change from I(d1)I(d_1) to I(d2)I(d_2), .5-.5

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