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Randomization and Dimensionality in Risk Modeling
Last Updated: 2026-02-05 15:47:36
Abstract
Nachdiplom lecture
Content
Over the years, randomization has proven to be a powerful tool in the modeling of risks on several levels: for computational purposes, in uncovering connections between different models, but also in the consideration and generation of physical and/or synthetic scenarios in risk management. A second, and in part connected, theme is the parsimonious and structure-preserving refinement of stochastic models via matrix-valued parameters, and related questions concerning the appropriate and effective dimension of models for a given purpose. This lecture will deal with various recent advances in these fields, and also illustrate concrete applications in insurance and finance, including the optimal design of reinsurance treaties and the probabilistic analysis of the profitability of blockchain mining.
General Information
- Language
- English
- Levels
- DR
Examination
- Type
- no performance assessment
Registration & Places
- Signup End
- 23.09.2021
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Randomization and Dimensionality in Risk Modeling
Tuesdays, 10:15 - 12:00
First lecture: 28 September
More information and registration (registration deadline: 23 September)
|
|
2 h weekly |
Offered In
-
Doctoral Department of Mathematics (More Information at: The list of courses (together with the allocated credit points) eligible for doctoral students is published each semester in the newsletter of the ZGSM. WARNING: Do not mistake ECTS credits for credit points for doctoral studies!)
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Graduate School (Official website of the Zurich Graduate School in Mathematics:)
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