Expected Return Analysis

Expected Return Analysis is a quantitative method used in forest investment assessment that distinguishes itself by estimating the probabilistic average of potential financial outcomes to evaluate the economic viability and risk-adjusted performance of forestry projects.

493

Publications

40.4K

Citations

878

Authors

502

Institutions

Publications per year

2017–2026

97

Authors

878

  1. EF
    Eugene F. Fama

    University of Chicago, United States

    7 publications · 883 citations

    7

    h-index

  2. KR
    Kenneth R. French

    University of Chicago, United States

    6 publications · 799 citations

    6

    h-index

  3. FC
    Fousseni Chabi-Yo

    University of Massachusetts Amherst, United States

    5 publications · 248 citations

    5

    h-index

  4. JB
    John B. Guerard

    Capital University, United States

    5 publications · 418 citations

    5

    h-index

  5. LZ
    Lu Zhang

    National Bureau of Economic Research, United States

    4 publications · 519 citations

    4

    h-index

1–5 of 878

Venues

  1. SSRN Electronic Journal

    Repository · 83 publications · 3.6K citations

    30

    h-index

  2. The Journal of Finance

    18 publications · 3.9K citations

    16

    h-index

  3. Management Science

    15 publications · 2K citations

    15

    h-index

  4. Financial Analysts Journal

    FAJ · 12 publications · 879 citations

    12

    h-index

  5. Journal of Financial and Quantitative Analysis

    JFQA · 11 publications · 1.1K citations

    11

    h-index

1–5