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Stochastic Processes and Stochastic Analysis
Last Updated: 2026-02-05 15:19:16
Abstract
This is a first course on continuous-time stochastic processes, with a particular view on aspects and tools that are important for mathematical finance. Topics planned include- Brownian motion- Markov processes- Stochastic calculus- Levy processes
Objective
This is a first course on continuous-time stochastic processes, with a particular view on aspects and tools that are important for mathematical finance. Topics planned include - Brownian motion: definition, construction, some important properties - Markov processes: basics, strong Markov property, generators and martingale problems - Stochastic calculus: semimartingales, stochastic integrals, Ito formula, Girsanov transformation, stochastic differential equations - Levy processes: basic notions, some important properties
Content
This is a first course on continuous-time stochastic processes, with a particular view on aspects and tools that are important for mathematical finance. Topics planned include - Brownian motion: definition, construction, some important properties - Markov processes: basics, strong Markov property, generators and martingale problems - Stochastic calculus: semimartingales, stochastic integrals, Ito formula, Girsanov transformation, stochastic differential equations - Levy processes: basic notions, some important properties
General Information
- Language
- English
- Levels
- BSC , NDS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Stochastic Processes and Stochastic Analysis |
|
3 h weekly |
| exercise | Stochastic Processes and Stochastic Analysis |
|
1 h weekly |
Offered In
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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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