Universität Wien

040723 UK Financial and Insurance Mathematics (MA) (2023W)

3.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
MIXED

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Monday 02.10. 09:45 - 11:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 12.10. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 19.10. 13:15 - 14:45 Digital
Thursday 09.11. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 16.11. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 23.11. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 30.11. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 07.12. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 14.12. 13:15 - 14:45 Digital
Thursday 11.01. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 18.01. 13:15 - 14:45 Digital
Thursday 25.01. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 30.01. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Basic introduction in stochastic analysis to get an idea of the necessary tools for market models in Mathematical Finance. Ideas will be presented with examples of market models such as the Black Scholes model. In the realm of insurance mathematics the Cramer Lundberg model will be sketched.

Assessment and permitted materials

- written exercises, some are programming tasks (via Moodle)
- presentation of the exercises,
- oral exam.

Minimum requirements and assessment criteria

- obligation to be present, students can be absent three times without excuse
-50% of exercises have to be handed in
- presentation of exercises
- positive oral final exam

The number of exercise counts for 30%, the presentation also for 30% and the final exam for 40%.

For the number of exercise, the following grading scheme applies:
[90%,100%] Sehr gut (1)
[78%,90%) Gut (2)
[63%,78%) Befriedigend (3)
[50%,63%) Genügend (4)
[0%,50%) Nicht Genügend (5)

Examination topics

Content of the course

Reading list

S. Shreve: Stochastic Calculus for Finance II: Continuous-Time Models
I. Karatzas, S. Shreve: Brownian Motion and Stochastic Calculus;
M. Musiela, M. Rutkowski: Martingale Methods in Financial Modelling
A. Mc Neil, R. Frey, P. Embrechts: Quantitative Risk Management

Association in the course directory

Last modified: We 17.01.2024 16:25