Implied Binomial Trees

Implied Binomial Trees is a lattice-based option pricing model that infers the structure of a binomial tree consistent with observed market prices of options, particularly accommodating volatility smiles by deriving state prices and transition probabilities that are implied from market data rather than assumed a priori.

16

Publications

2.6K

Citations

28

Authors

28

Institutions

Publications per year

2017–2026

1

Authors

28

  1. JC
    Jens Carsten Jackwerth

    University of Konstanz, Germany

    2 publications · 280 citations

    2

    h-index

  2. TW
    Tianyang Wang

    Colorado State University, United States

    2 publications · 37 citations

    2

    h-index

  3. AS
    Adam Schwartz

    Washington and Lee University, United States

    2 publications · 21 citations

    2

    h-index

  4. JS
    James S. Dyer

    The University of Texas at Austin, United States

    2 publications · 37 citations

    2

    h-index

  5. TF
    Timothy Falcon Crack

    University of Otago, New Zealand

    2 publications · 21 citations

    2

    h-index

1–5 of 28

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 69 citations

    4

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  2. Journal of Futures Markets

    2 publications · 54 citations

    2

    h-index

  3. The Journal of Derivatives

    2 publications · 305 citations

    2

    h-index

  4. Financial Analysts Journal

    FAJ · 1 publications · 140 citations

    1

    h-index

  5. Journal of International Money and Finance

    1 publications · 223 citations

    1

    h-index

1–5