Jump Diffusions

Jump Diffusions is a type of stochastic process that extends standard diffusion models by incorporating random jumps, thereby allowing for discontinuous sample paths to capture abrupt changes in the underlying system dynamics.

680

Publications

47.3K

Citations

1K

Authors

593

Institutions

Publications per year

2017–2026

138

Authors

1K

  1. GY
    George Yin

    Wayne State University, United States

    14 publications · 523 citations

    13

    h-index

  2. SK
    Steven Kou

    Columbia University, United States

    11 publications · 3.7K citations

    11

    h-index

  3. FX
    Fubao Xi

    Beijing Institute of Technology, China

    8 publications · 330 citations

    8

    h-index

  4. EB
    Erhan Bayraktar

    University of Michigan, United States

    7 publications · 179 citations

    7

    h-index

  5. ÉG
    Éric Ghysels

    University of North Carolina at Chapel Hill, United States

    6 publications · 1.2K citations

    6

    h-index

1–5 of 1K

Venues

  1. SSRN Electronic Journal

    Repository · 42 publications · 1.8K citations

    20

    h-index

  2. Journal of Computational and Applied Mathematics

    26 publications · 740 citations

    16

    h-index

  3. SIAM Journal on Control and Optimization

    14 publications · 703 citations

    13

    h-index

  4. Stochastic Processes and their Applications

    16 publications · 880 citations

    13

    h-index

  5. Insurance Mathematics and Economics

    14 publications · 739 citations

    13

    h-index

1–5