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Statistical Analysis of Financial Data
Last Updated: 2026-02-05 15:34:48
Abstract
Distributions for financial data. Volatility models: ARCH- and GARCH models. Value at risk and expected shortfall. Portfolio theory: minimum-variance portfolio, efficient frontier, Sharpe’s ratio. Factor models: capital asset pricing model, macroeconomic factor models, fundamental factor model. Copulas: Basic theory, Gaussian and t-copulas, archimedean copulas, calibration of copulas.
Objective
Getting to know the typical properties of financial data and appropriate statistical models, incl. the corresponding functions in R.
General Information
- Language
- English
- Levels
- MSC , WBZ
- Frequency
- Every two years
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Statistical Analysis of Financial Data
Block course on 18, 25 January and 1, 15 February 2021. For further information see
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17.5 h semesterly |
Offered In
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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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