Returns Forecasting

Returns Forecasting is a predictive analytics method in returns management that estimates the volume, timing, and characteristics of product returns based on historical data, customer behavior, and operational variables to support inventory, logistics, and reverse supply chain planning.

1.2K

Publications

130.4K

Citations

2.2K

Authors

1.1K

Institutions

Publications per year

2017–2026

418

Authors

2.2K

  1. RG
    Rangan Gupta

    University of Pretoria, South Africa

    13 publications · 632 citations

    12

    h-index

  2. GZ
    Guofu Zhou

    Washington University in St. Louis, United States

    12 publications · 571 citations

    11

    h-index

  3. ME
    Mark E. Wohar

    University of Nebraska at Omaha, United States

    11 publications · 797 citations

    11

    h-index

  4. PK
    Paresh Kumar Narayan

    Deakin University, Australia

    11 publications · 1.2K citations

    11

    h-index

  5. HG
    Hui Guo

    University of Cincinnati, United States

    10 publications · 430 citations

    10

    h-index

1–5 of 2.2K

Venues

  1. SSRN Electronic Journal

    Repository · 177 publications · 12K citations

    52

    h-index

  2. The Journal of Finance

    47 publications · 25.4K citations

    39

    h-index

  3. Review of Financial Studies

    23 publications · 10.8K citations

    23

    h-index

  4. Journal of Banking & Finance

    24 publications · 2.7K citations

    21

    h-index

  5. Financial Analysts Journal

    FAJ · 21 publications · 2.8K citations

    19

    h-index

1–5