Demand Volatility Estimation

Demand Volatility Estimation is a quantitative method within demand sensing that characterizes the degree of variation or unpredictability in short-term demand patterns over time, distinguishing itself by its focus on real-time or near-real-time data to capture dynamic fluctuations rather than long-term trends.

12

Publications

465

Citations

29

Authors

23

Institutions

Publications per year

2017–2026

5

Authors

29

  1. PG
    Philip G. Gayle

    Kansas State University, United States

    1 publications · 14 citations

    1

    h-index

  2. MR
    Michael Rohrmoser

    Médecins Sans Frontières, Netherlands

    1 publications · 103 citations

    1

    h-index

  3. KH
    Kyle Handley

    University of Maryland, College Park, United States

    1 publications · 15 citations

    1

    h-index

  4. CD
    C. Droge

    Michigan State University, United States

    1 publications · 44 citations

    1

    h-index

  5. MM
    Michael McAleer

    Erasmus University Rotterdam, Netherlands

    1 publications · 51 citations

    1

    h-index

1–5 of 29

Venues

  1. Journal of Econometrics

    1 publications · 51 citations

    1

    h-index

  2. SSRN Electronic Journal

    Repository · 1 publications · 15 citations

    1

    h-index

  3. International Journal of Production Research

    1 publications · 43 citations

    1

    h-index

  4. Journal of Business Finance &amp Accounting

    1 publications · 39 citations

    1

    h-index

  5. Journal of Operations Management

    1 publications · 103 citations

    1

    h-index

1–5