Expected Shortfall Analysis

Expected Shortfall Analysis is a risk measurement framework that quantifies the average loss exceeding a specified confidence threshold in the tail distribution of financial or systemic stress outcomes, distinguishing it from other risk metrics by its focus on conditional tail expectations.

51

Publications

1.9K

Citations

100

Authors

91

Institutions

Publications per year

2017–2026

12

Authors

100

  1. NC
    Nick Costanzino

    New York University, United States

    3 publications · 78 citations

    3

    h-index

  2. MC
    Mike Curran

    New York University, United States

    3 publications · 78 citations

    3

    h-index

  3. PS
    Paulo Sérgio Ceretta

    Universidade Federal de Santa Maria, Brazil

    2 publications · 35 citations

    2

    h-index

  4. RM
    Raimond Maurer

    Goethe University Frankfurt, Germany

    2 publications · 63 citations

    2

    h-index

  5. MB
    Marcelo Brutti Righi

    Universidade Federal do Rio Grande do Sul, Brazil

    2 publications · 35 citations

    2

    h-index

1–5 of 100

Venues

  1. SSRN Electronic Journal

    Repository · 12 publications · 236 citations

    10

    h-index

  2. Journal of Banking & Finance

    3 publications · 336 citations

    3

    h-index

  3. Applied Economics

    2 publications · 43 citations

    2

    h-index

  4. Quantitative Finance

    2 publications · 43 citations

    2

    h-index

  5. Economic Modelling

    2 publications · 27 citations

    2

    h-index

1–5