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Parameter identification in ARMA-processes in the presence of regular but incomplete sampling

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  • Palm, F.C.
  • Nijman, T.E.

    (Tilburg University, School of Economics and Management)

Abstract

. We discuss the parameter identification of multivariate AR (1) models and of univariate ARMA (2,1) and AR (2) models if the variables in the model are observed every mth period where m is some integer greater than unity. The results indicate that the models will often not be globally identified even if they are locally identified and that the likelihood function can have a large number of local maxima.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Palm, F.C. & Nijman, T.E., 1990. "Parameter identification in ARMA-processes in the presence of regular but incomplete sampling," Other publications TiSEM 69e84dde-44ef-4592-93a8-8, Tilburg University, School of Economics and Management.
  • Handle: RePEc:tiu:tiutis:69e84dde-44ef-4592-93a8-8148c32f5f98
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    Cited by:

    1. SILVESTRINI, Andrea & VEREDAS, David, 2005. "Temporal aggregation of univariate linear time series models," LIDAM Discussion Papers CORE 2005059, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. MOULIN, Laurent & SALTO, Matteo & SILVESTRINI, Andrea & VEREDAS, David, 2004. "Using intra annual information to forecast the annual state deficits : the case of France," LIDAM Discussion Papers CORE 2004048, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Röell, A.A., 1991. "Dual capacity trading and the quality of the market," Other publications TiSEM 962c4eef-72ca-4ada-bb51-e, Tilburg University, School of Economics and Management.
    4. Sbrana, Giacomo & Silvestrini, Andrea, 2013. "Aggregation of exponential smoothing processes with an application to portfolio risk evaluation," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1437-1450.
    5. Andersen, Torben G. & Bollerslev, Tim & Lange, Steve, 1999. "Forecasting financial market volatility: Sample frequency vis-a-vis forecast horizon," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 457-477, December.
    6. van der Ploeg, F. & de Zeeuw, A.J., 1992. "A differential game of international pollution control," Other publications TiSEM 63432fbc-f558-422b-93d9-4, Tilburg University, School of Economics and Management.
    7. Bekaert, Geert, 1996. "The Time Variation of Risk and Return in Foreign Exchange Markets: A General Equilibrium Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 427-470.
    8. Bollerslev, Tim & Wright, Jonathan H., 2000. "Semiparametric estimation of long-memory volatility dependencies: The role of high-frequency data," Journal of Econometrics, Elsevier, vol. 98(1), pages 81-106, September.

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