High-frequency Correlation Modeling

High-Frequency Correlation Modeling is a statistical framework that captures the dynamic interdependencies among asset returns at ultra-high temporal resolutions by accounting for microstructure noise, non-synchronicity, and rapid time variation in correlations.

23

Publications

775

Citations

63

Authors

41

Institutions

Publications per year

2017–2026

2

Authors

63

  1. RF
    Robert F. Engle

    New York University, United States

    3 publications · 125 citations

    3

    h-index

  2. JG
    José Gonzalo Rangel

    New York University, United States

    3 publications · 125 citations

    3

    h-index

  3. EK
    Evžen Kočenda

    Charles University, Czechia

    1 publications · 22 citations

    1

    h-index

  4. JD
    José Da Fonseca

    Auckland University of Technology, New Zealand

    1 publications · 16 citations

    1

    h-index

  5. WD
    Wang Duan

    University of Rijeka, Croatia

    1 publications · 21 citations

    1

    h-index

1–5 of 63

Venues

  1. 4

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 77 citations

    3

    h-index

  3. Journal of Financial Econometrics

    1 publications · 20 citations

    1

    h-index

  4. Econometric Theory

    1 publications · 61 citations

    1

    h-index

  5. Pattern Recognition

    1 publications · 66 citations

    1

    h-index

1–5