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Computational Methods for Quantitative Finance
Last Updated: 2026-02-05 15:29:50
Abstract
Introduction to principal methods of option pricing. Emphasis on PDE-based methods. Prerequisite MATLAB programming.
Objective
Introduce the main methods for efficient numerical valuation of derivative contracts in a Black Scholes as well as in incomplete markets due Levy processes or due to stochastic volatility models. Develop implementation of pricing methods in MATLAB. Methods based on simulation of sample paths as well as Finite-Difference/ Finite Element based methods for the solution of the pricing integrodifferential equation.
Content
Same text as in Originalsprache.
Resources
Lecture Notes
There will be english, typed lecture notes as well as MATLAB software forregistered participants in the course.
Literature
same as in Originalsprache.
General Information
- Language
- English
- Levels
- DR , BSC , MSC , NDS
- Frequency
- Yearly recurring
Examination
- Type
- end-of-semester examination
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Computational Methods for Quantitative Finance
Permission from lecturers required for all students.
|
|
2 h weekly |
| exercise | Computational Methods for Quantitative Finance |
|
1 h weekly |
Offered In
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Department of Mathematics (Official website of the Zurich Graduate School in Mathematics:)
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MAS in Finance (For information and admission (and possibly more up-to-date information about the courses) see .)
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Mandatory Courses (In addition to the two type O courses participants have to follow at least one of the three type W courses.)
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