Expected Shortfall Estimation

Expected Shortfall Estimation is a statistical inference method within order statistics that quantifies the average loss exceeding a specified quantile threshold, distinguishing itself by focusing on tail risk beyond the Value-at-Risk level.

110

Publications

6.1K

Citations

190

Authors

200

Institutions

Publications per year

2017–2026

31

Authors

190

  1. JF
    Johanna F. Ziegel

    University of Bern, Switzerland

    7 publications · 914 citations

    7

    h-index

  2. OS
    Olivier Scaillet

    University of Geneva, Switzerland

    5 publications · 464 citations

    5

    h-index

  3. JW
    James W. Taylor

    University of Wisconsin–Madison, United States

    4 publications · 244 citations

    4

    h-index

  4. RG
    Richard Gerlach

    The University of Sydney, Australia

    3 publications · 140 citations

    3

    h-index

  5. KY
    Keming Yu

    Brunel University of London, United Kingdom

    3 publications · 67 citations

    3

    h-index

1–5 of 190

Venues

  1. SSRN Electronic Journal

    Repository · 13 publications · 460 citations

    11

    h-index

  2. Journal of Financial Econometrics

    9 publications · 803 citations

    9

    h-index

  3. Quantitative Finance

    6 publications · 217 citations

    6

    h-index

  4. Mathematical Finance

    3 publications · 666 citations

    3

    h-index

  5. Econometric Theory

    3 publications · 138 citations

    3

    h-index

1–5