Implied Volatility Modeling

Implied Volatility Modeling is a quantitative methodology within option pricing theory that characterizes the forward-looking volatility of an underlying asset by inverting observed market option prices to derive the market's consensus expectation of future volatility.

624

Publications

48.1K

Citations

946

Authors

600

Institutions

Publications per year

2017–2026

140

Authors

946

  1. AJ
    Antoine Jacquier

    Imperial College London, United Kingdom

    13 publications · 541 citations

    11

    h-index

  2. MF
    Martin Forde

    Dublin City University, Ireland

    11 publications · 477 citations

    11

    h-index

  3. DR
    Doojin Ryu

    Sungkyunkwan University, South Korea

    9 publications · 313 citations

    9

    h-index

  4. ML
    Matthew Lorig

    University of Washington Applied Physics Laboratory, United States

    9 publications · 214 citations

    9

    h-index

  5. JD
    James Doran

    Florida State University, United States

    8 publications · 383 citations

    8

    h-index

1–5 of 946

Venues

  1. SSRN Electronic Journal

    Repository · 113 publications · 4.3K citations

    33

    h-index

  2. The Journal of Finance

    20 publications · 11.7K citations

    20

    h-index

  3. Journal of Banking & Finance

    25 publications · 2.2K citations

    20

    h-index

  4. Quantitative Finance

    27 publications · 1.8K citations

    19

    h-index

  5. Journal of Futures Markets

    29 publications · 969 citations

    17

    h-index

1–5