Variance Gamma Processes

Variance Gamma Processes is a type of stochastic process in financial mathematics that extends Brownian motion by incorporating time changes through a gamma subordinator, thereby allowing for jumps and capturing skewness and kurtosis in asset returns.

114

Publications

10.9K

Citations

170

Authors

111

Institutions

Publications per year

2017–2026

17

Variants

Variance Gamma Process

Authors

170

  1. DB
    Dilip B. Madan

    University of Maryland, College Park, United States

    15 publications · 5.7K citations

    13

    h-index

  2. WS
    Wim Schoutens

    KU Leuven, Belgium

    8 publications · 397 citations

    8

    h-index

  3. ES
    E. Seneta

    The University of Sydney, Australia

    8 publications · 1.9K citations

    8

    h-index

  4. PC
    Peter Carr

    New York University, United States

    7 publications · 3.9K citations

    7

    h-index

  5. EL
    Elisa Luciano

    University of Turin, Italy

    6 publications · 373 citations

    6

    h-index

1–5 of 170

Venues

  1. Quantitative Finance

    12 publications · 316 citations

    12

    h-index

  2. SSRN Electronic Journal

    Repository · 12 publications · 306 citations

    11

    h-index

  3. International Journal of Theoretical and Applied Finance

    IJTAF · 9 publications · 260 citations

    9

    h-index

  4. The Journal of Computational Finance

    7 publications · 505 citations

    7

    h-index

  5. Mathematical Finance

    7 publications · 311 citations

    7

    h-index

1–5