Range-based Volatility Estimation

Range-Based Volatility Estimation is a volatility modeling method that belongs to the class of price-range-based estimators and specifically utilizes the high and low prices of an asset over a given period to infer the latent volatility, distinguishing itself from return-based methods by leveraging the informational content of price extremes rather than closing-price variations.

74

Publications

4.8K

Citations

126

Authors

91

Institutions

Publications per year

2017–2026

22

Authors

126

  1. MW
    Michael W. Brandt

    Duke University, United States

    7 publications · 2.1K citations

    7

    h-index

  2. FM
    Feng Ma

    Southwest Jiaotong University, China

    5 publications · 173 citations

    5

    h-index

  3. FX
    Francis X. Diebold

    University of Pennsylvania, United States

    5 publications · 1.8K citations

    5

    h-index

  4. PM
    Péter Molnár

    University of Stavanger, Norway

    3 publications · 263 citations

    3

    h-index

  5. TG
    Turan G. Bali

    Georgetown University, United States

    3 publications · 227 citations

    3

    h-index

1–5 of 126

Venues

  1. SSRN Electronic Journal

    Repository · 9 publications · 609 citations

    9

    h-index

  2. Journal of Futures Markets

    5 publications · 229 citations

    5

    h-index

  3. Economic Modelling

    5 publications · 137 citations

    5

    h-index

  4. Finance research letters

    5 publications · 177 citations

    5

    h-index

  5. 4

    h-index

1–5