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Mathematical Foundations for Finance
Last Updated: 2026-02-05 15:34:41
Abstract
First introduction to main modelling ideas and mathematical tools from mathematical finance
Objective
This course gives a first introduction to the main modelling ideas and mathematical tools from mathematical finance. It aims mainly at non-mathematicians who need an introduction to the main tools from stochastics used in mathematical finance. However, mathematicians who want to learn some basic modelling ideas and concepts for quantitative finance (before continuing with a more advanced course) may also find this of interest. The main emphasis will be on ideas, but important results will be given with (sometimes partial) proofs.
Content
Topics to be covered include - financial market models in finite discrete time - absence of arbitrage and martingale measures - valuation and hedging in complete markets - basics about Brownian motion - stochastic integration - stochastic calculus: Itô's formula, Girsanov transformation, Itô's representation theorem - Black-Scholes formula
Resources
Lecture Notes
Lecture notes will be made available at the beginning of the course.
Literature
Lecture notes will be made available at the beginning of the course. Additional (background) references are given there.
Learning Materials (Links)
- Main link
- Mathematical Foundations for Finance
General Information
- Language
- English
- Levels
- BSC , DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 180 minutes
- Aids
- keine Hilfsmittel / no aiding materials allowed
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Mathematical Foundations for Finance
**together with University of Zurich**
«Hybrid» Students in the Quantitative Finance MSc UZH/ETH programme can attend the lecture in the classroom HG E 7 in September and October. ONLINE for all students as of November.
The lecturers will communicate the exact lesson times of ONLINE courses.
URL for live streaming:
|
|
3 h weekly |
| exercise |
Mathematical Foundations for Finance
Groups are selected in myStudies.
**together with University of Zurich**
Fri 8-10 or Fri 10-12
The lecturers will communicate the exact lesson times of ONLINE courses.
|
|
2 h weekly |
Offered In
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Actuary SAA Education at ETH Zurich (Further pieces of information are available at Prof. M. Wüthrich's secretariat, HG F 42.)
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Statistics Master (The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.)
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Quantitative Finance Master (see Students in the Joint Degree Master's Programme "Quantitative Finance" must book University of Zurich modules directly at the University of Zurich. Those modules are not listed here.)
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Mathematical Methods for Finance (For possible additional course offerings see )
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