Time Series Analysis - Winter Term 2011/2012
General
Information
Lecturer: Bernd Droge
Further Course
Information and Material will ONLY be available on Moodle.
The Course-Key for Subscription will be published in the first lecture.
Table of Contents
- Descriptive Methods
- Sample Moments
- Classical Components Models
- Trend Determination
- Seasonal Adjustment
- Models of Time Series
- Stochastic Processes and Stationarity
- AR, MA and ARMA Processes
- The Partial Autocorrelation Function
- Estimation, Specification, Validation and Forecasting
of ARMA Models
- Models for Nonstationary Time Series and Unit Root
Tests
- Trend Stationarity vs. Unit Root
- ARIMA and Seasonal ARIMA Models
- Unit Root Tests
- GARCH Models for Clustered Volatility
- Multivariate Extensions
- VAR Processes
- Causality and Impulse Response Analysis
- Cointegrated Processes
Reference
- Schlittgen/Streitberg (2001): Zeitreihenanalyse, München.
- Hamilton (1994): Time Series Analysis, Princeton University Press.
- Lütkepohl, H. (2005): New Introduction to Multiple Time Series Analysis, Springer Verlag, Heidelberg.