Realized Kernel Estimation

Realized Kernel Estimation is a nonparametric method for estimating daily integrated volatility that employs kernel-based weighting schemes to mitigate microstructure noise in high-frequency financial return data.

23

Publications

3.3K

Citations

34

Authors

38

Institutions

Publications per year

2017–2026

3

Authors

34

  1. AL
    Asger Lunde

    Aarhus University, Denmark

    5 publications · 2.1K citations

    5

    h-index

  2. PR
    Peter Reinhard Hansen

    Aarhus University, Denmark

    3 publications · 2K citations

    3

    h-index

  3. LM
    Lada M. Kyj

    Humboldt-Universität zu Berlin, Germany

    3 publications · 243 citations

    3

    h-index

  4. NH
    Nikolaus Hautsch

    University of Vienna, Austria

    3 publications · 243 citations

    3

    h-index

  5. NS
    Neil Shephard

    University of Oxford, United Kingdom

    3 publications · 2K citations

    3

    h-index

1–5 of 34

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 141 citations

    4

    h-index

  2. Journal of Business and Economic Statistics

    JBES · 3 publications · 161 citations

    3

    h-index

  3. Journal of Financial Econometrics

    3 publications · 227 citations

    3

    h-index

  4. Journal of Forecasting

    2 publications · 95 citations

    2

    h-index

  5. Journal of Applied Econometrics

    2 publications · 214 citations

    2

    h-index

1–5