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Factor ARMA representation of a Markov process

  • Serge Darolles
  • , Jean Pierre Florens
  • , Christian Gouriéroux
  • Société Générale
  • Institut d'Economie Industrielle (IDEI)
  • CEPREMAP Centre pour la Recherche Économique et ses Applications

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We decompose a stationary Markov process (Xt) as: Xt=a0+∑j=1a jZj,t, where the Zj's processes admit ARMA specifications. These decompositions are deduced from a nonlinear canonical decomposition of the joint distribution of (Xt, Xt-1).

Original languageEnglish
Pages (from-to)165-171
Number of pages7
JournalEconomics Letters
Volume71
Issue number2
DOIs
Publication statusPublished - 1 May 2001
Externally publishedYes

Keywords

  • C14
  • C22
  • Canonical analysis
  • Dynamic factors
  • Markov process
  • Nonlinear
  • Reversibility

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