Rolling Forecast Models

Rolling Forecast Models is a financial forecasting methodology that continuously updates predictions by extending the planning horizon with new periods as time progresses, distinguishing itself from static budgeting through its dynamic and iterative time-adaptive structure.

38

Publications

1.7K

Citations

106

Authors

70

Institutions

Publications per year

2017–2026

17

Variants

Rolling Forecasts

Authors

106

  1. KB
    Karim Barhoumi

    Banque de France, France

    2 publications · 63 citations

    2

    h-index

  2. VB
    V. Brunhes-Lesage

    Nantes Université, France

    2 publications · 63 citations

    2

    h-index

  3. OD
    Olivier Darné

    Nantes Université, France

    2 publications · 63 citations

    2

    h-index

  4. ZC
    Zezong Chen

    Wuhan University, China

    2 publications · 67 citations

    2

    h-index

  5. QW
    Qianru Wang

    Northwestern Polytechnical University, China

    2 publications · 89 citations

    2

    h-index

1–5 of 106

Venues

  1. Journal of Forecasting

    3 publications · 71 citations

    3

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 40 citations

    2

    h-index

  3. Economic Inquiry

    2 publications · 55 citations

    2

    h-index

  4. Finance research letters

    1 publications · 40 citations

    1

    h-index

  5. Abstract and Applied Analysis

    AAA · 1 publications · 10 citations

    1

    h-index

1–5