Alpha Factor Modeling

Alpha Factor Modeling is a methodological framework in algorithmic trading analytics that identifies and constructs predictive signals—distinct from risk exposure or market beta—by systematically extracting, validating, and combining quantifiable factors that generate excess portfolio returns.

67

Publications

2.6K

Citations

167

Authors

101

Institutions

Publications per year

2017–2026

21

Authors

167

  1. MP
    Momtchil Pojarliev

    New York University, United States

    3 publications · 159 citations

    3

    h-index

  2. RM
    Richard M. Levich

    New York University, United States

    3 publications · 159 citations

    3

    h-index

  3. MC
    Martijn Cremers

    University of Notre Dame, United States

    3 publications · 506 citations

    3

    h-index

  4. EH
    Eric H. Sorensen

    Quantitative BioSciences, United States

    2 publications · 38 citations

    2

    h-index

  5. RA
    Robert A. Stubbs

    Axiom (United States), United States

    2 publications · 41 citations

    2

    h-index

1–5 of 167

Venues

  1. SSRN Electronic Journal

    Repository · 6 publications · 342 citations

    6

    h-index

  2. The Journal of Portfolio Management

    JPM · 5 publications · 128 citations

    5

    h-index

  3. Financial Analysts Journal

    FAJ · 3 publications · 179 citations

    3

    h-index

  4. Water Science & Technology

    2 publications · 63 citations

    2

    h-index

  5. Water Research

    2 publications · 35 citations

    2

    h-index

1–5