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Frequency domain principal components estimation of fractionally cointegrated processes

  • Claudio Morana

This study introduces a new frequency domain principal components estimator of the cointegration space and the loading matrix for the common factors for fractionally cointegrated long memory processes. A Monte Carlo simulation exercise reveals that the proposed estimator has already good properties with relatively small sample sizes.

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Article provided by Taylor & Francis Journals in its journal Applied Economics Letters.

Volume (Year): 11 (2004)
Issue (Month): 13 ()
Pages: 837-842

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Handle: RePEc:taf:apeclt:v:11:y:2004:i:13:p:837-842
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  4. Daniel Levy, 2002. "Cointegration in Frequency Domain," Emory Economics 0209, Department of Economics, Emory University (Atlanta).
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  8. Robinson, Peter M. & Yajima, Yoshihiro, 2002. "Determination of cointegrating rank in fractional systems," Journal of Econometrics, Elsevier, vol. 106(2), pages 217-241, February.
  9. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  10. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-40, September.
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  12. Phillips, P. C. B. & Ouliaris, S., 1988. "Testing for cointegration using principal components methods," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 205-230.
  13. Kasa, Kenneth, 1992. "Common stochastic trends in international stock markets," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 95-124, February.
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