Noise-corrected Estimation

Noise-Corrected Estimation is a statistical methodology in high-frequency data analysis that belongs to the class of estimation techniques designed for financial time series, distinguished by its explicit adjustment for microstructure noise to yield consistent and efficient estimates of latent price dynamics.

224

Publications

20.5K

Citations

440

Authors

317

Institutions

Publications per year

2017–2026

34

Authors

440

  1. PR
    Peter Reinhard Hansen

    Aarhus University, Denmark

    11 publications · 3.4K citations

    11

    h-index

  2. AL
    Asger Lunde

    Aarhus University, Denmark

    11 publications · 3.4K citations

    10

    h-index

  3. YA
    Yacine Aı̈t-Sahalia

    Princeton University, United States

    9 publications · 3.1K citations

    9

    h-index

  4. PA
    Per A. Mykland

    University of Chicago, United States

    7 publications · 2.8K citations

    7

    h-index

  5. NS
    Neil Shephard

    University of Oxford, United Kingdom

    6 publications · 1.9K citations

    6

    h-index

1–5 of 440

Venues

  1. SSRN Electronic Journal

    Repository · 25 publications · 1.8K citations

    20

    h-index

  2. Journal of Econometrics

    12 publications · 799 citations

    12

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 5 publications · 1.5K citations

    5

    h-index

  4. Signal Processing

    4 publications · 106 citations

    4

    h-index

  5. Journal of the American Statistical Association

    4 publications · 1.8K citations

    4

    h-index

1–5