Statistical Factor Models

Statistical Factor Models is a quantitative method in factor analysis that identifies latent risk factors by applying statistical techniques to asset return data, distinguishing itself from fundamental or economic factor models through its data-driven approach to factor extraction without relying on predefined economic theories.

455

Publications

41.4K

Citations

1K

Authors

550

Institutions

Publications per year

2017–2026

111

Authors

1K

  1. AE
    Annette E. Maxwell

    University of California, Los Angeles, United States

    12 publications · 3.4K citations

    12

    h-index

  2. DN
    D. N. Lawley

    University of Edinburgh, United Kingdom

    10 publications · 2.9K citations

    10

    h-index

  3. JF
    Jianqing Fan

    Princeton University, United States

    8 publications · 369 citations

    8

    h-index

  4. MP
    Markus Pelger

    Stanford University, United States

    6 publications · 666 citations

    6

    h-index

  5. OD
    Olivier Darné

    Nantes Université, France

    5 publications · 189 citations

    5

    h-index

1–5 of 1K

Venues

  1. SSRN Electronic Journal

    Repository · 52 publications · 1.9K citations

    24

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 12 publications · 669 citations

    11

    h-index

  3. Journal of Econometrics

    9 publications · 684 citations

    9

    h-index

  4. 8

    h-index

  5. Multivariate Behavioral Research

    MBR · 8 publications · 1.7K citations

    8

    h-index

1–5