Implied Volatility Estimation

Implied Volatility Estimation is a quantitative method in financial econometrics that derives the market’s expectation of an asset’s future volatility by inverting option pricing models, such as the Black-Scholes model, to solve for the volatility parameter implied by observed option prices.

838

Publications

60.7K

Citations

1.2K

Authors

722

Institutions

Publications per year

2017–2026

184

Authors

1.2K

  1. AJ
    Antoine Jacquier

    Imperial College London, United Kingdom

    14 publications · 617 citations

    12

    h-index

  2. DR
    Doojin Ryu

    Sungkyunkwan University, South Korea

    12 publications · 426 citations

    12

    h-index

  3. MF
    Martin Forde

    Dublin City University, Ireland

    11 publications · 490 citations

    11

    h-index

  4. JD
    James Doran

    Florida State University, United States

    10 publications · 442 citations

    10

    h-index

  5. LW
    Liuren Wu

    Baruch College, United States

    9 publications · 1.4K citations

    9

    h-index

1–5 of 1.2K

Venues

  1. SSRN Electronic Journal

    Repository · 126 publications · 4.5K citations

    36

    h-index

  2. Journal of Futures Markets

    47 publications · 1.7K citations

    24

    h-index

  3. Journal of Banking & Finance

    28 publications · 2.5K citations

    21

    h-index

  4. Quantitative Finance

    32 publications · 1.6K citations

    20

    h-index

  5. The Journal of Finance

    19 publications · 9.7K citations

    18

    h-index

1–5