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Computational Methods for Quantitative Finance
Last Updated: 2026-02-05 15:19:41
Abstract
Introduction to principal methods of option pricing. Emphasis on Monte Carlo and 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
- BSC , DR , NDS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 25 minutes
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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D-MATH (Official web site of the Zurich Graduate School in Mathematics:)
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Master of Advanced Studies in Finance (For information and admission see . Abbreviations: O obligatory course; W elective course; E recommended or optional course.)
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