Model-free Implied Variance

Model-Free Implied Variance is a model-independent measure of expected volatility derived from the weighted sum of squared option prices across a continuum of strikes, differentiated by its reliance solely on observable market prices rather than assumptions of a specific stochastic process or parametric model.

21

Publications

2.5K

Citations

47

Authors

42

Institutions

Publications per year

2017–2026

1

Variants

Model-independent Implied Variance

Authors

47

  1. TR
    Tarun Ramadorai

    Imperial College London, United Kingdom

    2 publications · 219 citations

    2

    h-index

  2. PK
    Pradeep K. Yadav

    University of Oklahoma, United States

    2 publications · 156 citations

    2

    h-index

  3. PD
    Pasquale Della Corte

    Centre for Economic Policy Research, United Kingdom

    2 publications · 219 citations

    2

    h-index

  4. LS
    Lucio Sarno

    Centre for Economic Policy Research, United Kingdom

    2 publications · 219 citations

    2

    h-index

  5. RL
    Roger Lee

    Queen Mary University of London, United Kingdom

    2 publications · 145 citations

    2

    h-index

1–5 of 47

Venues

  1. SSRN Electronic Journal

    Repository · 7 publications · 179 citations

    7

    h-index

  2. Journal of Futures Markets

    2 publications · 47 citations

    2

    h-index

  3. Journal of Financial and Quantitative Analysis

    JFQA · 1 publications · 62 citations

    1

    h-index

  4. Finance and Stochastics

    1 publications · 80 citations

    1

    h-index

  5. Journal of Banking & Finance

    1 publications · 123 citations

    1

    h-index

1–5