Multi-period Forecasting

Multi-Period Forecasting is a forecasting methodology that predicts outcomes across multiple future time intervals within a single analytical framework, distinguishing itself from single-period approaches by simultaneously modeling temporal dependencies and evolving patterns over an extended horizon.

93

Publications

5.4K

Citations

224

Authors

141

Institutions

Publications per year

2017–2026

29

Authors

224

  1. CC
    Ching‐Hsue Cheng

    National Yunlin University of Science and Technology, Taiwan

    2 publications · 99 citations

    2

    h-index

  2. GC
    Guillaume Chevillon

    École Supérieure des Sciences Économiques et Commerciales, France

    2 publications · 25 citations

    2

    h-index

  3. OD
    O. D. Anderson

    Imperial College London, United Kingdom

    2 publications · 76 citations

    2

    h-index

  4. SV
    Siva Viswanathan

    Duke University, United States

    2 publications · 620 citations

    2

    h-index

  5. TT
    Timo Teräsvirta

    Stockholm School of Economics, Sweden

    2 publications · 22 citations

    2

    h-index

1–5 of 224

Venues

  1. SSRN Electronic Journal

    Repository · 7 publications · 316 citations

    7

    h-index

  2. International Journal of Forecasting

    6 publications · 169 citations

    6

    h-index

  3. Energy

    3 publications · 85 citations

    3

    h-index

  4. Journal of Business and Economic Statistics

    JBES · 2 publications · 35 citations

    2

    h-index

  5. Technological Forecasting and Social Change

    2 publications · 66 citations

    2

    h-index

1–5