Forecast Error Aggregation

Forecast Error Aggregation is a measurement framework that synthesizes individual forecast errors across multiple time periods, series, or models to quantify overall predictive accuracy while preserving the structure and distributional characteristics of the underlying errors.

25

Publications

1.1K

Citations

50

Authors

41

Institutions

Publications per year

2017–2026

2

Authors

50

  1. JH
    Jim Hoover

    University of Florida, United States

    2 publications · 39 citations

    2

    h-index

  2. TU
    Thomas Urich

    New York University, United States

    2 publications · 89 citations

    2

    h-index

  3. SF
    Stephen Figlewski

    New York University, United States

    2 publications · 89 citations

    2

    h-index

  4. MG
    Matteo Giacomo Maria Kalchschmidt

    University of Bergamo, Italy

    2 publications · 150 citations

    2

    h-index

  5. GZ
    Giulio Zotteri

    Politecnico di Torino, Italy

    2 publications · 150 citations

    2

    h-index

1–5 of 50

Venues

  1. Management Science

    2 publications · 199 citations

    2

    h-index

  2. The Journal of Finance

    2 publications · 89 citations

    2

    h-index

  3. International Journal of Production Economics

    2 publications · 150 citations

    2

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 2 publications · 39 citations

    2

    h-index

  5. IET Generation Transmission & Distribution

    1 publications · 41 citations

    1

    h-index

1–5