Integrated Volatility Estimation

Integrated Volatility Estimation is a statistical methodology in high-frequency time series analysis that quantifies the total variation of a continuous-time stochastic process over a fixed interval by aggregating squared intraday returns, distinguished from alternative volatility measures by its theoretical consistency under microstructure noise and irregular sampling.

137

Publications

11.9K

Citations

166

Authors

161

Institutions

Publications per year

2017–2026

20

Authors

166

  1. PA
    Per A. Mykland

    University of Chicago, United States

    9 publications · 835 citations

    9

    h-index

  2. MP
    Mark Podolskij

    Aarhus University, Denmark

    8 publications · 836 citations

    8

    h-index

  3. JF
    Jianqing Fan

    Princeton University, United States

    8 publications · 387 citations

    8

    h-index

  4. NM
    Nour Meddahi

    Toulouse School of Economics, France

    7 publications · 612 citations

    7

    h-index

  5. MV
    Mathias Vetter

    Ruhr University Bochum, Germany

    6 publications · 588 citations

    6

    h-index

1–5 of 166

Venues

  1. SSRN Electronic Journal

    Repository · 21 publications · 765 citations

    15

    h-index

  2. Journal of Econometrics

    14 publications · 1.7K citations

    14

    h-index

  3. The Annals of Statistics

    7 publications · 482 citations

    7

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 7 publications · 137 citations

    7

    h-index

  5. Econometric Theory

    6 publications · 410 citations

    6

    h-index

1–5