Forecasting Horizon Selection

Forecasting Horizon Selection is the systematic process of determining the optimal time span over which future revenue outcomes are predicted, distinguishing it from other forecasting design choices by focusing specifically on the temporal extent of the prediction task.

80

Publications

5.4K

Citations

185

Authors

123

Institutions

Publications per year

2017–2026

19

Authors

185

  1. JW
    John W. Galbraith

    McGill University, Canada

    2 publications · 94 citations

    2

    h-index

  2. NB
    Nicoletta Batini

    International Monetary Fund, United States

    2 publications · 207 citations

    2

    h-index

  3. HZ
    Hamidreza Zareipour

    University of Calgary, Canada

    2 publications · 50 citations

    2

    h-index

  4. SJ
    Stephen J. Taylor

    Lancaster University, United Kingdom

    2 publications · 79 citations

    2

    h-index

  5. CJ
    C. Joseph Clawson

    University of Southern California, United States

    2 publications · 59 citations

    2

    h-index

1–5 of 185

Venues

  1. Journal of Forecasting

    5 publications · 111 citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 128 citations

    4

    h-index

  3. International Journal of Forecasting

    4 publications · 126 citations

    4

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 3 publications · 141 citations

    3

    h-index

  5. Journal of Marketing

    JM · 2 publications · 59 citations

    2

    h-index

1–5