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Temporal aggregation of univariate and multivariate time series models: A survey

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  • SILVESTRINI, Andrea
  • VEREDAS, David

Abstract

We present a unified and up-to-date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail, although intuitively, the technical machinery behind the results. Some empirical applications illustrate the main issues. Copyright © 2008 The Authors. Journal compilation © 2008 Blackwell Publishing Ltd.
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Suggested Citation

  • SILVESTRINI, Andrea & VEREDAS, David, 2009. "Temporal aggregation of univariate and multivariate time series models: A survey," CORE Discussion Papers RP 2013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:2013
    Note: In : Journal of Economic Surveys, 22(3), 458-497, 2008
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    File URL: http://dx.doi.org/10.1111/j.1467-6419.2007.00538.x
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    References listed on IDEAS

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    1. Roy van der Weide, 2002. "GO-GARCH: a multivariate generalized orthogonal GARCH model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 549-564.
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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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