Forecast Combination

Forecast Combination is a forecasting methodology that constructs a single aggregate forecast by systematically weighting and averaging multiple individual forecasts, typically derived from distinct models or information sources, in order to improve predictive accuracy and robustness relative to any constituent forecast.

622

Publications

44.2K

Citations

1.1K

Authors

598

Institutions

Publications per year

2017–2026

172

Authors

1.1K

  1. AT
    Allan Timmermann

    University of California San Diego, United States

    13 publications · 1.2K citations

    13

    h-index

  2. JM
    James Mitchell

    National Institute of Economic and Social Research, United Kingdom

    10 publications · 790 citations

    10

    h-index

  3. DW
    Derek W. Bunn

    London Business School, United Kingdom

    9 publications · 713 citations

    9

    h-index

  4. RL
    Robert L. Winkler

    Duke University, United States

    9 publications · 1.8K citations

    9

    h-index

  5. FR
    Francesco Ravazzolo

    BI Norwegian Business School, Norway

    9 publications · 378 citations

    9

    h-index

1–5 of 1.1K

Venues

  1. International Journal of Forecasting

    61 publications · 4.8K citations

    40

    h-index

  2. Journal of Forecasting

    56 publications · 5.1K citations

    28

    h-index

  3. SSRN Electronic Journal

    Repository · 32 publications · 1.5K citations

    19

    h-index

  4. Management Science

    17 publications · 2.4K citations

    17

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 14 publications · 1.3K citations

    13

    h-index

1–5