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Explosive Bubble Modelling by Noncausal Process

  • Christian Gouriéroux

    ()

    (CREST and University of Toronto)

  • Jean-Michel Zakoian

    ()

    (CREST and University Lille 3)

The linear mixed causal and noncausal autoregressive processes provide often a better fit to economic and financial time series than the standard causal linear autoregressive processes. By considering the example of the noncausal Cauchy autoregressive process, we show that it might be explained by the special associated nonlinear causal dynamics. Indeed, this causal dynamics can include unit root, bubble phenomena, or asymmetric cycles often observed on financial markets. The noncausal Cauchy autoregressive process provides a new modelling for explosive multiple bubbles and their transmission in a multivariate dynamic framework. We also explain why standard unit root tests will fail in detecting such explosive bubbles

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File URL: http://www.crest.fr/images/docTravail2013/2013-04.pdf
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Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2013-04.

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Length: 48
Date of creation: Feb 2013
Date of revision:
Handle: RePEc:crs:wpaper:2013-04
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