Credit Exposure Simulation

Credit Exposure Simulation is a computational methodology within counterparty credit risk analysis that quantifies potential future exposure by simulating the stochastic evolution of market variables and corresponding portfolio values over time under various scenarios.

21

Publications

459

Citations

30

Authors

19

Institutions

Publications per year

2017–2026

3

Authors

30

  1. MP
    Michael Pykhtin

    Federal Reserve, United States

    7 publications · 241 citations

    7

    h-index

  2. AS
    Alexander Sokol

    Overlook Medical Center, United States

    3 publications · 62 citations

    3

    h-index

  3. LB
    Leif B. G. Andersen

    Bank of America, United States

    3 publications · 62 citations

    3

    h-index

  4. CA
    Claudio Albanese

    Imperial College London, United Kingdom

    2 publications · 54 citations

    2

    h-index

  5. PG
    Paul Giltinan

    Bank of England, United Kingdom

    2 publications · 33 citations

    2

    h-index

1–5 of 30

Venues

  1. SSRN Electronic Journal

    Repository · 8 publications · 135 citations

    8

    h-index

  2. The Journal of Credit Risk

    4 publications · 84 citations

    4

    h-index

  3. Quantitative Finance

    1 publications · 42 citations

    1

    h-index

  4. The Journal of Computational Finance

    1 publications · 10 citations

    1

    h-index

  5. Applied Mathematical Finance

    1 publications · 16 citations

    1

    h-index

1–5