Risk-adjusted Return Models

Risk-Adjusted Return Models is a statistical methodology in financial econometrics that quantifies the excess return of a security relative to a benchmark or asset pricing model, accounting for systematic risk factors to isolate the abnormal performance attributable to specific events in the context of event study analysis.

129

Publications

7.1K

Citations

275

Authors

210

Institutions

Publications per year

2017–2026

42

Authors

275

  1. ZD
    Zhi Da

    University of Notre Dame, United States

    3 publications · 349 citations

    3

    h-index

  2. LS
    Luc Soenen

    California Polytechnic State University, United States

    3 publications · 146 citations

    3

    h-index

  3. DJ
    Dennis J. Chambers

    Kennesaw State University, United States

    2 publications · 307 citations

    2

    h-index

  4. CM
    Carmen‐Pilar Martí‐Ballester

    Universitat Autònoma de Barcelona, Spain

    2 publications · 67 citations

    2

    h-index

  5. RB
    Robert B. Thompson

    Georgetown University, United States

    2 publications · 307 citations

    2

    h-index

1–5 of 275

Venues

  1. SSRN Electronic Journal

    Repository · 19 publications · 536 citations

    15

    h-index

  2. The Journal of Investing

    5 publications · 131 citations

    5

    h-index

  3. The Journal of Portfolio Management

    JPM · 4 publications · 87 citations

    4

    h-index

  4. The Journal of Risk Finance

    4 publications · 94 citations

    4

    h-index

  5. Journal of Financial and Quantitative Analysis

    JFQA · 3 publications · 675 citations

    3

    h-index

1–5