Forecast Comparison Tests

Forecast Comparison Tests is a statistical methodology used in forecast evaluation to systematically assess and differentiate the relative accuracy or performance of two or more competing forecasts according to predefined loss functions or evaluation criteria.

91

Publications

6.3K

Citations

153

Authors

114

Institutions

Publications per year

2017–2026

15

Authors

153

  1. TE
    Todd E. Clark

    Federal Reserve Bank of Cleveland, United States

    5 publications · 141 citations

    5

    h-index

  2. MW
    Michael W. McCracken

    Federal Reserve Bank of St. Louis, United States

    5 publications · 140 citations

    5

    h-index

  3. RG
    Raffaella Giacomini

    University College London, United Kingdom

    4 publications · 1.1K citations

    4

    h-index

  4. FX
    Francis X. Diebold

    University of Pennsylvania, United States

    3 publications · 544 citations

    3

    h-index

  5. AT
    Allan Timmermann

    University of California San Diego, United States

    3 publications · 172 citations

    3

    h-index

1–5 of 153

Venues

  1. SSRN Electronic Journal

    Repository · 13 publications · 361 citations

    11

    h-index

  2. Journal of Business and Economic Statistics

    JBES · 6 publications · 1.7K citations

    6

    h-index

  3. Journal of Forecasting

    5 publications · 133 citations

    5

    h-index

  4. Monthly Weather Review

    5 publications · 649 citations

    5

    h-index

  5. International Journal of Forecasting

    4 publications · 161 citations

    4

    h-index

1–5