Testing for a change in persistence in the presence of non-stationary volatility
Abstract: In this paper we consider tests for the null of (trend-) stationarity against the alternative of a change in persistence at some (known or unknown) point in the observed sample, either from I(0) to I(1) behaviour or vice versa, of, inter alia, (Kim, J., 2000. Detection of change in persistence of a linear time series. Journal of Econometrics 95, 97–116). We show that in circumstances where the innovation process displays non-stationary unconditional volatility of a very general form, which includes single and multiple volatility breaks as special cases, the ratio-based statistics used to test for persistence change do not have pivotal limiting null distributions. Numerical evidence suggests that this can cause severe over-sizing in the tests. In practice it may therefore be hard to discriminate between persistence change processes and processes with constant persistence but which display time-varying unconditional volatility. We solve the identified inference problem by proposing w
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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Postprint
begutachtet (peer reviewed)
In: Journal of Econometrics ; 147 (2008) 1 ; 84-98
- Klassifikation
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Wirtschaft
- Ereignis
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Veröffentlichung
- (wo)
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Mannheim
- (wann)
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2008
- Urheber
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Cavaliere, Giuseppe
Taylor, A.M. Robert
- DOI
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10.1016/j.jeconom.2008.09.004
- URN
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urn:nbn:de:0168-ssoar-201017
- Rechteinformation
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Open Access unbekannt; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:54 MEZ
Datenpartner
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Beteiligte
- Cavaliere, Giuseppe
- Taylor, A.M. Robert
Entstanden
- 2008
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