Cross-sectional Forecasting

Cross-Sectional Forecasting is a forecasting method that predicts outcomes across multiple entities or units at a single point in time, distinguished from time-series approaches by its emphasis on inter-unit variation rather than temporal dynamics.

53

Publications

4.6K

Citations

109

Authors

96

Institutions

Publications per year

2017–2026

14

Authors

109

  1. KH
    Kewei Hou

    The Ohio State University, United States

    4 publications · 702 citations

    4

    h-index

  2. MA
    Mathijs A. van Dijk

    Erasmus University Rotterdam, Netherlands

    4 publications · 702 citations

    4

    h-index

  3. YZ
    Yinglei Zhang

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 702 citations

    4

    h-index

  4. KV
    Keith Vorkink

    Brigham Young University, United States

    3 publications · 1K citations

    3

    h-index

  5. TM
    Todd Mitton

    Brigham Young University, United States

    3 publications · 1K citations

    3

    h-index

1–5 of 109

Venues

  1. SSRN Electronic Journal

    Repository · 14 publications · 669 citations

    13

    h-index

  2. Management Science

    3 publications · 204 citations

    3

    h-index

  3. Journal of Marketing Research

    2 publications · 48 citations

    2

    h-index

  4. Finance research letters

    1 publications · 51 citations

    1

    h-index

  5. Journal of Financial Markets

    1 publications · 45 citations

    1

    h-index

1–5