Realized Volatility Models

Realized Volatility Models is a class of econometric frameworks that belong to the genus of volatility estimation methods, specifically distinguished by their use of high-frequency financial data to construct precise, non-parametric measures of latent stochastic volatility through aggregation of intraperiod squared returns.

363

Publications

24.4K

Citations

539

Authors

405

Institutions

Publications per year

2017–2026

130

Authors

539

  1. TB
    Tim Bollerslev

    Duke University, United States

    17 publications · 2K citations

    16

    h-index

  2. PR
    Peter Reinhard Hansen

    Aarhus University, Denmark

    13 publications · 2.5K citations

    12

    h-index

  3. TG
    Torben G. Andersen

    Northwestern University, United States

    12 publications · 862 citations

    11

    h-index

  4. FC
    Fulvio Corsi

    University of Pisa, Italy

    11 publications · 3.5K citations

    11

    h-index

  5. SL
    Sébastien Laurent

    UCLouvain, Belgium

    9 publications · 2.9K citations

    9

    h-index

1–5 of 539

Venues

  1. SSRN Electronic Journal

    Repository · 47 publications · 2.5K citations

    23

    h-index

  2. Journal of Econometrics

    19 publications · 2.3K citations

    17

    h-index

  3. Journal of Financial Econometrics

    16 publications · 3.3K citations

    13

    h-index

  4. Journal of Futures Markets

    11 publications · 473 citations

    11

    h-index

  5. Journal of Forecasting

    12 publications · 474 citations

    11

    h-index

1–5