Parametric Risk Estimation

Parametric Risk Estimation is a formal method of quantifying uncertainty in risk assessment by assuming an underlying probability distribution for risk parameters, thereby enabling inference through estimated distributional parameters rather than non-parametric or empirical data-driven approaches.

110

Publications

6.2K

Citations

223

Authors

163

Institutions

Publications per year

2017–2026

13

Authors

223

  1. AW
    Andrew W. Lo

    Massachusetts Institute of Technology, United States

    3 publications · 1.2K citations

    3

    h-index

  2. OB
    Oleg Bondarenko

    University of Illinois Chicago, United States

    3 publications · 174 citations

    3

    h-index

  3. YA
    Yacine Aı̈t-Sahalia

    Princeton University, United States

    3 publications · 1.2K citations

    3

    h-index

  4. TB
    Tine Buch-Kromann

    City, University of London, United Kingdom

    2 publications · 28 citations

    2

    h-index

  5. LP
    Liang Peng

    Georgia Institute of Technology, United States

    2 publications · 36 citations

    2

    h-index

1–5 of 223

Venues

  1. SSRN Electronic Journal

    Repository · 10 publications · 486 citations

    10

    h-index

  2. Journal of Econometrics

    4 publications · 1K citations

    4

    h-index

  3. Insurance Mathematics and Economics

    4 publications · 155 citations

    4

    h-index

  4. 4

    h-index

  5. The Journal of Finance

    3 publications · 1.5K citations

    3

    h-index

1–5