Return Correlation Analysis

Return Correlation Analysis is a statistical method used in financial econometrics that quantifies the degree and nature of linear co-movement between the returns of two or more financial assets over time, distinguishing itself from other return analysis techniques by focusing specifically on pairwise or cross-sectional correlation structures.

180

Publications

15.7K

Citations

359

Authors

242

Institutions

Publications per year

2017–2026

33

Authors

359

  1. HE
    H. Eugene Stanley

    Boston University, United States

    4 publications · 368 citations

    4

    h-index

  2. RN
    Rosario N. Mantegna

    University of Palermo, Italy

    4 publications · 310 citations

    4

    h-index

  3. FL
    Fabrizio Lillo

    Scuola Normale Superiore, Italy

    4 publications · 310 citations

    4

    h-index

  4. CH
    Christian Heyerdahl-Larsen

    BI Norwegian Business School, Norway

    3 publications · 84 citations

    3

    h-index

  5. DW
    Dong Wook Lee

    Pohang University of Science and Technology, South Korea

    3 publications · 110 citations

    3

    h-index

1–5 of 359

Venues

  1. SSRN Electronic Journal

    Repository · 25 publications · 1.1K citations

    18

    h-index

  2. 12

    h-index

  3. Review of Financial Studies

    6 publications · 1.4K citations

    6

    h-index

  4. The Journal of Finance

    5 publications · 2.7K citations

    5

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 5 publications · 205 citations

    5

    h-index

1–5