Expected Return Models

Expected Return Models is a theoretical framework in asset return modeling that specifies the systematic determination of the anticipated return on an investment by incorporating risk factors, market conditions, and asset characteristics to differentiate it from historical or realized return analyses.

721

Publications

90.7K

Citations

1.2K

Authors

616

Institutions

Publications per year

2017–2026

123

Authors

1.2K

  1. WE
    Wayne E. Ferson

    National Bureau of Economic Research, United States

    11 publications · 2.9K citations

    11

    h-index

  2. ĽP
    Ľuboš Pástor

    University of Chicago, United States

    8 publications · 847 citations

    8

    h-index

  3. CR
    Campbell R. Harvey

    Duke University, United States

    8 publications · 4.6K citations

    8

    h-index

  4. EJ
    Edwin J. Elton

    New York University, United States

    7 publications · 1.5K citations

    7

    h-index

  5. JS
    Jay Shanken

    Emory University, United States

    7 publications · 402 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. The Journal of Finance

    63 publications · 27.6K citations

    42

    h-index

  2. SSRN Electronic Journal

    Repository · 103 publications · 4.9K citations

    32

    h-index

  3. Journal of Financial Economics

    31 publications · 19.3K citations

    28

    h-index

  4. Review of Financial Studies

    21 publications · 7.2K citations

    21

    h-index

  5. Financial Analysts Journal

    FAJ · 21 publications · 1.4K citations

    17

    h-index

1–5