Tail Risk Optimization

Tail Risk Optimization is a portfolio optimization framework that belongs to the class of risk-aware investment strategies and is distinguished by its explicit focus on minimizing the likelihood and impact of extreme downside returns in the tail of the return distribution.

17

Publications

1.1K

Citations

44

Authors

25

Institutions

Publications per year

2017–2026

7

Authors

44

  1. LR
    Ludger Rüschendorf

    University of Freiburg, Germany

    2 publications · 107 citations

    2

    h-index

  2. GM
    Georg Mainik

    ETH Zurich, Switzerland

    2 publications · 107 citations

    2

    h-index

  3. HK
    Hiroshi Konno

    Tokyo Institute of Technology, Japan

    2 publications · 273 citations

    2

    h-index

  4. TM
    Thomas M. Idzorek

    Yale University, United States

    1 publications · 127 citations

    1

    h-index

  5. SY
    Shu Yan

    Oklahoma State University, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 44

Venues

  1. Annals of Operations Research

    2 publications · 302 citations

    2

    h-index

  2. Journal of Banking & Finance

    2 publications · 90 citations

    2

    h-index

  3. Finance and Stochastics

    1 publications · 63 citations

    1

    h-index

  4. International Journal of Theoretical and Applied Finance

    IJTAF · 1 publications · 20 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 289 citations

    1

    h-index

1–5