Embedded Options Valuation

Embedded Options Valuation is a valuation method that specifically accounts for the stochastic behavior and exercise features of implicit options embedded within financial instruments, distinguishing it from standard valuation techniques by incorporating path-dependent decision rules and interest rate sensitivities under uncertainty.

77

Publications

3.7K

Citations

139

Authors

95

Institutions

Publications per year

2017–2026

5

Authors

139

  1. SL
    Sergei Levendorskiı̌

    The University of Texas at Austin, United States

    5 publications · 157 citations

    5

    h-index

  2. AG
    Andrea Gamba

    University of Warwick, United Kingdom

    3 publications · 105 citations

    3

    h-index

  3. SB
    Svetlana Boyarchenko

    The University of Texas at Austin, United States

    3 publications · 73 citations

    3

    h-index

  4. FJ
    Frank J. Fabozzi

    Ecole des Hautes Etudes Commerciales du Nord, France

    3 publications · 469 citations

    3

    h-index

  5. MB
    Mitya Boyarchenko

    University of Michigan, United States

    2 publications · 84 citations

    2

    h-index

1–5 of 139

Venues

  1. SSRN Electronic Journal

    Repository · 14 publications · 698 citations

    12

    h-index

  2. Financial Analysts Journal

    FAJ · 4 publications · 183 citations

    4

    h-index

  3. The Journal of Finance

    4 publications · 452 citations

    4

    h-index

  4. The Journal of Fixed Income

    3 publications · 74 citations

    3

    h-index

  5. Insurance Mathematics and Economics

    3 publications · 93 citations

    3

    h-index

1–5