105.047 Non-life insurance mathematics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, VO, 3.0h, 4.5EC
TUWEL

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VO Lecture

Learning outcomes

After successful completion of the course, students are able to

  • explain individual and collective models of the total damage,
  • describe important damage-value distributions,
  • explain the calculation of the total damage by means of Panjer recursion,
  • to approximate the total damage by appropriate distributions,
  • explain the basic forms of reinsurance,
  • calculate the total damage of an insurance portfolio,
  • apply premium calculation principles,
  • apply the Credibility-Theory,
  • calculate reserves for late damage and
  • estimate the likelihood of major damage.

Subject of course

  • Stochastische Grundlagen

  • Verteilung des Gesamtschadens:
    • Individuelle Modelle
    • Kollektive Modelle: Modelle für Einzelschadensverteilungen X und Schadensanzahl N, gemischte Verteilungen
    • Compound Poisson-und verallgemeinerte Binomialverteilungen
    • Panjer-Verteilungen, Panjer-Rekursion
    • Approximationen für den Gesamtschaden S (Normal-, Gamma-und Poissonverteilung)
    • Verallgemeinerte Modelle für Schadenszahl N
    • Grundformen der Rückversicherung
  • Tarifierung:
    • Prämienkalkulationsprinzipien
    • Exakte und empirische Credibility-Theorie
    • Bühlmann-und Bühlmann-Straub-Modell
  • Reserven
    • Spätschadenreserve und IBNR-Methoden (Chain Ladder und Verallgemeinerungen, multiplikative Modelle)
    • Großschäden und Reserven
  • Extremwerttheorie
    • Grenzverteilungen für Maxima
    • Maximaler Anziehungsbereich
    • Grenzverteilungen von skalierten Exzessen
    • Verallgemeinerte Extremwertverteilungen und verallgemeinerte Paretoverteilung

Teaching methods

presentation about the theoretical foundations of the mentioned chapters, as well as the application of the theory in examples

Mode of examination

Written

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon12:00 - 13:0002.03.2020 - 09.03.2020FH Hörsaal 2 .
Thu12:00 - 14:0005.03.2020 - 12.03.2020FH Hörsaal 2 .
Non-life insurance mathematics - Single appointments
DayDateTimeLocationDescription
Mon02.03.202012:00 - 13:00FH Hörsaal 2 .
Thu05.03.202012:00 - 14:00FH Hörsaal 2 .
Mon09.03.202012:00 - 13:00FH Hörsaal 2 .
Thu12.03.202012:00 - 14:00FH Hörsaal 2 .

Examination modalities

written exam with examples and theory questions
More information on: https://fam.tuwien.ac.at/lehre/pr/.

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Tue14:00 - 16:0025.06.2024FH Hörsaal 1 - MWB written01.04.2024 00:00 - 18.06.2024 23:59TISSPrüfung 2024S
Tue12:00 - 14:0024.09.2024FH Hörsaal 1 - MWB written01.03.2024 00:00 - 17.09.2024 23:59TISSPrüfung 2024S (Nebentermin)

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
033 205 Financial and Actuarial Mathematics Mandatory6. Semester
066 405 Financial and Actuarial Mathematics Mandatory elective
860 GW Optional Courses - Technical Mathematics Not specified

Literature

Lecture notes for this course are available. Im Sekretariat der Forschungsgruppe FAM erhältlich

  • Chapters 1 to 3 as well as 5 and 6 in the book by Thomas Mikosch, Non-Life Insurance Mathematics, An Introduction with Stochastic Processes, Springer Universitext, Springer-Verlag Berlin Heidelberg 2004, ISBN 3-540-40650-6.
  • Chapter 11 in the book by Klaus D. Schmidt, Versicherungsmathematik, Springer-Verlag Berlin Heidelberg 2002, ISBN 3-540-42731-7.
  • Section 1.3 in the book by Paul Embrechts, Claudia Klüppelberg, Thomas Mikosch: Modelling Extremal Events, Springer-Verlag Berlin Heidelberg New York 1997, ISBN 3-540-60931-8

Previous knowledge

Maß- und Wahrscheinlichkeitstheorie
Statistik und Stochastische Prozesse

Accompanying courses

Language

German