Stochastic Liability Modeling

Stochastic Liability Modeling is a quantitative risk modeling framework that belongs to the class of stochastic forecasting methods and specifically characterizes the uncertain future cash flow obligations of institutional investors by simulating a range of possible liability trajectories under probabilistic assumptions.

36

Publications

1.6K

Citations

81

Authors

49

Institutions

Publications per year

2017–2026

4

Authors

81

  1. MK
    Matti Koivu

    European Central Bank, Germany

    2 publications · 93 citations

    2

    h-index

  2. XQ
    Xiao Qing-xian

    University of Shanghai for Science and Technology, China

    2 publications · 49 citations

    2

    h-index

  3. AR
    Antero Ranne

    European Central Bank, Germany

    2 publications · 93 citations

    2

    h-index

  4. JP
    Jian Pan

    Gannan Normal University, China

    2 publications · 49 citations

    2

    h-index

  5. TP
    Teemu Pennanen

    Aalto University, Finland

    2 publications · 93 citations

    2

    h-index

1–5 of 81

Venues

  1. Annals of Operations Research

    4 publications · 169 citations

    3

    h-index

  2. Astin Bulletin

    3 publications · 202 citations

    3

    h-index

  3. North American Actuarial Journal

    NAAJ · 3 publications · 112 citations

    3

    h-index

  4. INFORMS Journal on Applied Analytics

    2 publications · 458 citations

    2

    h-index

  5. Insurance Mathematics and Economics

    2 publications · 118 citations

    2

    h-index

1–5