Forecast Horizon Optimization

Forecast Horizon Optimization is a methodological framework in cash forecasting that determines the optimal time span for predictive models by balancing forecast accuracy, operational relevance, and computational efficiency to enhance decision-making under temporal uncertainty.

35

Publications

1.2K

Citations

94

Authors

56

Institutions

Publications per year

2017–2026

7

Authors

94

  1. SC
    Suresh Chand

    Purdue University West Lafayette, United States

    6 publications · 123 citations

    6

    h-index

  2. SS
    Suresh Sethi

    The University of Texas at Dallas, United States

    3 publications · 58 citations

    3

    h-index

  3. HK
    Howard Kunreuther

    University of Pennsylvania, United States

    2 publications · 91 citations

    2

    h-index

  4. JC
    James C. Bean

    University of Michigan, United States

    2 publications · 46 citations

    2

    h-index

  5. YM
    Yinping Mu

    University of Electronic Science and Technology of China, China

    2 publications · 43 citations

    2

    h-index

1–5 of 94

Venues

  1. Naval Research Logistics (NRL)

    5 publications · 137 citations

    5

    h-index

  2. IIE Transactions

    3 publications · 81 citations

    3

    h-index

  3. Operations Research

    3 publications · 56 citations

    3

    h-index

  4. Management Science

    3 publications · 122 citations

    3

    h-index

  5. Manufacturing & Service Operations Management

    2 publications · 38 citations

    2

    h-index

1–5