Forecast Combination Evaluation

Forecast Combination Evaluation is a systematic methodological framework within revenue forecast validation that assesses the relative accuracy, robustness, and reliability of combined forecasting models by integrating multiple individual forecasts and evaluating their aggregated performance against empirical outcomes.

211

Publications

17K

Citations

385

Authors

279

Institutions

Publications per year

2017–2026

57

Authors

385

  1. AT
    Allan Timmermann

    University of California San Diego, United States

    10 publications · 1K citations

    10

    h-index

  2. MH
    M. Hashem Pesaran

    University of Southern California, United States

    4 publications · 191 citations

    4

    h-index

  3. FX
    Francis X. Diebold

    University of Pennsylvania, United States

    4 publications · 496 citations

    4

    h-index

  4. JM
    James Mitchell

    National Institute of Economic and Social Research, United Kingdom

    4 publications · 415 citations

    4

    h-index

  5. HS
    Haiyan Song

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 389 citations

    4

    h-index

1–5 of 385

Venues

  1. International Journal of Forecasting

    27 publications · 2.1K citations

    20

    h-index

  2. Journal of Forecasting

    27 publications · 2.4K citations

    18

    h-index

  3. SSRN Electronic Journal

    Repository · 16 publications · 959 citations

    14

    h-index

  4. Journal of Business and Economic Statistics

    JBES · 8 publications · 748 citations

    8

    h-index

  5. Management Science

    7 publications · 1.6K citations

    7

    h-index

1–5