Forecast Accuracy Analysis

Forecast Accuracy Analysis is a quantitative evaluation method that measures the deviation between predicted and actual revenue outcomes to assess the reliability and precision of forecasting models within revenue performance analysis.

652

Publications

47.3K

Citations

1.2K

Authors

680

Institutions

Publications per year

2017–2026

173

Authors

1.2K

  1. LD
    Lawrence D. Brown

    Temple University, United States

    11 publications · 1K citations

    11

    h-index

  2. JS
    J. Scott Armstrong

    University of Pennsylvania, United States

    10 publications · 578 citations

    10

    h-index

  3. RF
    Robert Fildes

    Lancaster University, United Kingdom

    7 publications · 860 citations

    7

    h-index

  4. MO
    Marcus O’Connor

    UNSW Sydney, Australia

    6 publications · 491 citations

    6

    h-index

  5. SK
    Stephen K. McNees

    Federal Reserve Bank of Boston, United States

    5 publications · 335 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. Journal of Forecasting

    35 publications · 2.7K citations

    26

    h-index

  2. International Journal of Forecasting

    31 publications · 8.6K citations

    23

    h-index

  3. SSRN Electronic Journal

    Repository · 47 publications · 2.2K citations

    23

    h-index

  4. The Accounting Review

    22 publications · 6.5K citations

    21

    h-index

  5. Journal of Accounting Research

    JAR · 14 publications · 3K citations

    13

    h-index

1–5