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Seminar in Computational Finance for CSE
Last Updated: 2026-06-03 00:14:41
Abstract
Analysis of novel computational methods for core financial tasks such as portfolio optimization, hedging, and risk management.
Objective
The seminar is oriented toward the research frontier and draws on techniques from stochastic analysis, mathematical statistics, machine learning, or numerical analysis. Particular emphasis is placed on modern algorithms for scalable modeling, simulation, and decision-making in complex financial systems. • Understand recent methodological developments in computational finance. • Analyze and critically evaluate research papers using tools from stochastic analysis, mathematical statistics, deep learning, and numerical analysis. • Assess computational approaches to key financial problems, including pricing, hedging, portfolio optimization, and risk management. • Lead and actively contribute to technical discussions at the master’s to PhD level on one of the above topics via a 60 minutes presentation.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Semesterly recurring
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
Seminar in Computational Finance for CSE
Please contact Prof. Teichmann if you are interested in attending.
|
|
2 h weekly |
Offered In
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Quantitative Finance Master (see Students in the Joint Degree Master's Programme "Quantitative Finance" must book UZH modules directly at the UZH. Those modules are not listed here.)
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MF (Mathematical Methods in Finance) (For possible additional course offerings see )
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