Tempered Stable Processes

Tempered Stable Processes is a type of Lévy process that belongs to the class of stable processes but is distinguished by exponentially tempering the heavy tails of the stable distribution, thereby ensuring finite moments and enhanced applicability in modeling physical and financial phenomena with semi-heavy tails.

101

Publications

3.8K

Citations

136

Authors

117

Institutions

Publications per year

2017–2026

23

Authors

136

  1. FJ
    Frank J. Fabozzi

    Ecole des Hautes Etudes Commerciales du Nord, France

    11 publications · 399 citations

    11

    h-index

  2. AW
    Agnieszka Wyłomańska

    Wrocław University of Science and Technology, Poland

    11 publications · 283 citations

    11

    h-index

  3. YS
    Young Shin Kim

    Stony Brook University, United States

    8 publications · 338 citations

    8

    h-index

  4. RK
    Reiichiro Kawai

    University of Leicester, United Kingdom

    8 publications · 229 citations

    8

    h-index

  5. ML
    Michele Leonardo Bianchi

    Bank of Italy, Italy

    8 publications · 369 citations

    8

    h-index

1–5 of 136

Venues

  1. Statistics & Probability Letters

    6 publications · 193 citations

    6

    h-index

  2. 4

    h-index

  3. Journal of Statistical Computation and Simulation

    JSCS · 3 publications · 40 citations

    3

    h-index

  4. Quantitative Finance

    3 publications · 39 citations

    3

    h-index

  5. Physical Review E

    PRE · 3 publications · 227 citations

    3

    h-index

1–5