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Actuarial Risk Theory

MA3442Elective Modules5 ECTSEnglishWintersemester/SommersemesterDepartment Mathematics
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn fundamental models and methods of actuarial risk analysis. The focus is on Poisson and compound-Poisson processes, collective claims model, Renewal theory, and Ruin theory for light and heavy claim distributions; in the end you will be able to apply these concepts and make basic statements about ruin probabilities.

What you will be able to do

  • Understand basic concepts and methods of actuarial risk theory
  • Apply Poisson and compound-Poisson processes
  • Master Renewal theory
  • Apply Ruin Theory for light and heavy claim distributions
  • Use relevant tools such as generating functions and moment generating functions

What the module consists of

  • VorlesungPresentation of content, demonstrative examples and discussions
  • Übung/Practice sessionsDeepening through exercises and solutions
  • R-Programmierungpractical implementation and analysis with R

Teaching method

  • VorlesungIntroduction to theories and methods, motivation for independent engagement
  • ÜbungsgruppeConsolidation of the material through problems and self-check
  • R-Programmierungpractical analysis and implementation of the models

Dates

LectureActuarial Risk Theory [MA3442]

  • Tue14:15–15:4500.09.022, Übungsraum (5609.EG.022)
    15× · 13.10.–02.02.
    • 13.10.
    • 20.10.
    • 27.10.
    • 03.11.
    • 10.11.
    • 17.11.
    • 24.11.
    • 01.12.
    • 08.12.
    • 15.12.
    • 22.12.
    • 12.01.
    • 19.01.
    • 26.01.
    • 02.02.

ExerciseExercises for Actuarial Risk Theory [MA3442]

  • Tue16:15–17:4503.10.011, Seminarraum (5610.03.011)
    14× · 20.10.–02.02.
    • 20.10.
    • 27.10.
    • 03.11.
    • 10.11.
    • 17.11.
    • 24.11.
    • 01.12.
    • 08.12.
    • 15.12.
    • 22.12.
    • 12.01.
    • 19.01.
    • 26.01.
    • 02.02.

From the current semester, not binding.

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Official page in TUMonline · Details are not binding.