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Invertibility of nonlinear time-series models
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Economics.
1995 (English)In: Communications in Statistics - Theory and Methods, ISSN 0361-0926, E-ISSN 1532-415X, Vol. 24, no 11, 2701-2714 p.Article in journal (Refereed) Published
Abstract [en]

Sufficient conditions for invertibility of non-linear time series models are available in the literature only for a few special cases. In this paper a practical and general method for checking invertibility is presented. Briefly stated, it consists of feeding independent and identically distributed innovations into the non-linear model and then observing whether the model blows up or not. Using this idea invertibility conditions are derived for several recently proposed non-linear moving average models. Finally, the method is applied to a number of bilinear models fitted to economic time series.

Place, publisher, year, edition, pages
1995. Vol. 24, no 11, 2701-2714 p.
Keyword [en]
additive smooth transition moving average model, asymmetric moving average model, bilinear model (self-exciting threshold moving average model), forecasting
National Category
Economics
Research subject
Econometrics
Identifiers
URN: urn:nbn:se:umu:diva-64999DOI: 10.1080/03610929508831644ISI: A1995RZ39200001OAI: oai:DiVA.org:umu-64999DiVA: diva2:602936
Available from: 2013-02-04 Created: 2013-02-04 Last updated: 2017-12-06Bibliographically approved

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