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Forecast Combinations

  • Marco Aiolfi

    ()

    (Goldman Sachs Asset Management)

  • Carlos Capistrán

    ()

    (Banco de México)

  • Allan Timmermann

    ()

    (University of California, San Diego and CREATES)

We consider combinations of subjective survey forecasts and model-based forecasts from linear and non-linear univariate specifications as well as multivariate factor-augmented models. Empirical results suggest that a simple equal-weighted average of survey forecasts outperform the best model-based forecasts for a majority of macroeconomic variables and forecast horizons. Additional improvements can in some cases be gained by using a simple equal-weighted average of survey and model-based forecasts. We also provide an analysis of the importance of model instability for explaining gains from forecast combination. Analytical and simulation results uncover break scenarios where forecast combinations outperform the best individual forecasting model.

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Paper provided by Department of Economics and Business Economics, Aarhus University in its series CREATES Research Papers with number 2010-21.

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Length: 33
Date of creation: 06 May 2010
Date of revision:
Handle: RePEc:aah:create:2010-21
Contact details of provider: Web page: http://www.econ.au.dk/afn/

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