Arbeitspapier

A Copula-VAR-X Approach for Industrial Production Modelling and Forecasting

World economies, and especially European ones, have become strongly interconnected in the last decades and a joint modelling is required. We propose here the use of Copulas to build flexible multivariate distributions, since they allow for a rich dependence structure and more flexible marginal distributions that better fit the features of empirical data, such as leptokurtosis. We use our approach to forecast industrial production series in the core EMU countries and we provide evidence that the copula-VAR model outperforms or at worst compares similarly to normal VAR models, keeping the same computational tractability of the latter approach.

Sprache
Englisch

Erschienen in
Series: Quaderni di Dipartimento ; No. 105

Klassifikation
Wirtschaft
Estimation: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Model Construction and Estimation
Forecasting Models; Simulation Methods
Thema
Forecasting
Industrial Production
Copulas
VAR models

Ereignis
Geistige Schöpfung
(wer)
Bianchi, Carluccio
Carta, Alessandro
Fantazzini, Dean
De Giuli, Maria Elena
Maggi, Mario A.
Ereignis
Veröffentlichung
(wer)
Università degli Studi di Pavia, Dipartimento di Economia Politica e Metodi Quantitativi (EPMQ)
(wo)
Pavia
(wann)
2009

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Bianchi, Carluccio
  • Carta, Alessandro
  • Fantazzini, Dean
  • De Giuli, Maria Elena
  • Maggi, Mario A.
  • Università degli Studi di Pavia, Dipartimento di Economia Politica e Metodi Quantitativi (EPMQ)

Entstanden

  • 2009

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