Assumption-driven Forecasting

Assumption-Driven Forecasting is a modeling methodology within financial analysis that systematically projects a company’s future financial statements by deriving estimates from a coherent set of explicitly defined drivers and hypotheses governing business performance.

2

Publications

148

Citations

5

Authors

4

Institutions

Publications per year

2017–2026

1

Authors

5

  1. HA
    Heng An

    University of North Carolina at Greensboro, United States

    1 publications · 41 citations

    1

    h-index

  2. YL
    Yao Li

    University of Electronic Science and Technology of China, China

    1 publications · 107 citations

    1

    h-index

  3. YW
    Yul W. Lee

    University of Rhode Island, United States

    1 publications · 41 citations

    1

    h-index

  4. TZ
    Ting Zhang

    University of Dayton, United States

    1 publications · 41 citations

    1

    h-index

  5. BA
    Bismark Ameyaw

    University of Electronic Science and Technology of China, China

    1 publications · 107 citations

    1

    h-index

1–5 of 5

Venues

  1. Review of Accounting Studies

    1 publications · 41 citations

    1

    h-index

  2. Sustainability

    1 publications · 107 citations

    1

    h-index

  3. Scientific Reports

    1 publications · 10 citations

1–3