Rough Volatility Models

Rough Volatility Models is a class of continuous-time stochastic volatility models in which the volatility process exhibits rough sample path behavior, typically modeled via a fractional Brownian motion with Hurst parameter less than 0.5, distinguishing it from standard diffusion-based volatility models by capturing finer temporal dependencies and improved fit to empirical volatility surfaces.

63

Publications

2.8K

Citations

70

Authors

69

Institutions

Publications per year

2017–2026

59

Authors

70

  1. MR
    Mathieu Rosenbaum

    École Polytechnique, France

    8 publications · 295 citations

    8

    h-index

  2. MR
    Mathieu Rosenbaum

    École Polytechnique, France

    8 publications · 626 citations

    8

    h-index

  3. JG
    Jim Gatheral

    Baruch College, United States

    8 publications · 644 citations

    8

    h-index

  4. CB
    Christian Bayer

    Universitätsklinikum Erlangen, Germany

    7 publications · 633 citations

    7

    h-index

  5. PK
    Peter K. Friz

    Technische Universität Berlin, Germany

    6 publications · 593 citations

    6

    h-index

1–5 of 70

Venues

  1. Quantitative Finance

    14 publications · 945 citations

    13

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  2. SSRN Electronic Journal

    Repository · 7 publications · 162 citations

    7

    h-index

  3. Mathematical Finance

    7 publications · 172 citations

    7

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 106 citations

    6

    h-index

  5. The Annals of Applied Probability

    4 publications · 205 citations

    4

    h-index

1–5