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VARs, Cointegration and Common Cycle Restrictions

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  • Heather M Anderson

    ()

  • Farshid Vahid

    ()

Abstract

This paper argues that VAR models with cointegration and common cycles can be usefully viewed as observable factor models. The factors are linear combinations of lagged levels and lagged differences, and as such, these observable factors have potential for forecasting. We illustrate this forecast potential in both a Monte Carlo and empirical setting, and demonstrate the difficulties in developing forecasting "rules of thumb" for forecasting in multivariate systems.

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File URL: http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2010/wp14-10.pdf
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Bibliographic Info

Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number 14/10.

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Length: 50 pages
Date of creation: May 2010
Date of revision:
Handle: RePEc:msh:ebswps:2010-14

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Related research

Keywords: Common factors; Cross equation restrictions; Multivariate forecasting; Reduced rank models.;

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References

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Citations

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Cited by:
  1. Osmani Teixeira de Carvalho Guillén & Alain Hecq & João Victor Issler & Diogo Saraiva, 2013. "Time Series under Present-Value-Model Short- and Long-run Co-movement Restrictions," Working Papers Series 330, Central Bank of Brazil, Research Department.
  2. Guillén, Osmani Teixeira de Carvalho & Hecq, Alain & Issler, João Victor & Saraiva, Diogo, 2013. "Forecasting multivariate time series under present-value-model short- and long-run co-movement restrictions," Economics Working Papers (Ensaios Economicos da EPGE) 742, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  3. Justyna Wróblewska, 2012. "Bayesian Analysis of Weak Form Polynomial Reduced Rank Structures in VEC Models," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 4(4), pages 253-267, December.

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