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Polynomial Cointegration between Stationary Processes with Long Memory

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Author Info

  • Marco Avarucci

    (SEFeMEQ, University of Rome “Tor Vergata”)

  • Domenico Marinucci

    (Department of Mathematics, University of Rome “Tor Vergata”)

Abstract

In this paper we consider polynomial cointegrating relationships between stationary processes with long range dependence. We express the regression functions in terms of Hermite polynomials and we consider a form of spectral regression around frequency zero. For these estimates, we establish consistency by means of a more general result on continuously averaged estimates of the spectral density matrix at frequency zero.

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Bibliographic Info

Paper provided by Tor Vergata University, CEIS in its series CEIS Research Paper with number 99.

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Length: 24
Date of creation: 05 Mar 2007
Date of revision:
Handle: RePEc:rtv:ceisrp:99

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Postal: CEIS - Centre for Economic and International Studies - Faculty of Economics - University of Rome "Tor Vergata" - Via Columbia, 2 00133 Roma
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Web: http://www.ceistorvergata.it

Related research

Keywords: Nonlinear cointegration; Long memory; Hermite polynomials; Spectral regression; Diagram formula.;

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Cited by:
  1. Niels Haldrup & Robinson Kruse, 2014. "Discriminating between fractional integration and spurious long memory," CREATES Research Papers 2014-19, School of Economics and Management, University of Aarhus.

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