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Modelling comovements of economic time series: a selective survey

Author

Listed:
  • Marco Centoni

    (LUMSA Università, Roma)

  • Gianluca Cubadda

    (Dipartimento SEFEMEQ, Università di Roma "Tor Vergara")

Abstract

Modelling comovements amongst multiple economic variables takes up a relevant part of the literature in time series econometrics. Comovement can be defined as “move together”, that is as movement that several series have in common. The pattern of the series could be of different nature, such as trend, cycles, seasonality, being the results of different driving forces. As a results, series that comove share some common features. Common trends, common cycles, common seasonality are terms that are often found in the literature, different in scope but all aimed at modeling common behavior of the series. However, modeling comovements is not only a statistical matter, since in many cases common features are predicted by economic theory, resulting from the optimizing behavior of economic agents.

Suggested Citation

  • Marco Centoni & Gianluca Cubadda, 2011. "Modelling comovements of economic time series: a selective survey," Statistica, Department of Statistics, University of Bologna, vol. 71(2), pages 267-294.
    • Handle: RePEc:bot:rivsta:v:71:y:2011:i:2:p:267-294
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    Cited by:

    1. Dąbrowski, Marek A. & Wróblewska, Justyna, 2015. "Exchange rate as a shock absorber or a shock propagator in Poland and Slovakia - an approach based on Bayesian SVAR models with common serial correlation," MPRA Paper 61441, University Library of Munich, Germany.
    2. Dąbrowski, Marek A. & Wróblewska, Justyna, 2016. "Exchange rate as a shock absorber in Poland and Slovakia: Evidence from Bayesian SVAR models with common serial correlation," Economic Modelling, Elsevier, vol. 58(C), pages 249-262.
    3. Pallara, Kevin, 2016. "The dynamic effects of government spending: a FAVAR approach," MPRA Paper 92283, University Library of Munich, Germany.
    4. Justyna Wróblewska, 2012. "Bayesian Analysis of Weak Form Polynomial Reduced Rank Structures in VEC Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(4), pages 253-267, December.
    5. Dąbrowski, Marek A. & Wróblewska, Justyna, 2020. "Insulating property of the flexible exchange rate regime: A case of Central and Eastern European countries," International Economics, Elsevier, vol. 162(C), pages 34-49.

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