Learning Outcomes
• Good grasp of theories and models for time series analysis.
• Acquaintance with practical issues in data analysis (data cleansing and preprocessing, model estimation, diagnostic testing, etc).
• Demonstration of how advanced econometric models can be estimated and tested in a computer environment.
Course Content (Syllabus)
• Fundamentals concepts in time-series analysis: time series vs stratified data, conditional distribution, conditional mean and variance, short-term and long-term predictions, trends, mean-reversion and seasonality.
• Popular time-series analysis techniques: autocorrelation and partial autocorrelation functions, autoregressive (AR) and moving-average (MA) models, mixed ARMA models, basic properties, model specification and diagnostics, the Box-Jenkins framework.
• Volatility models: short-term changes in price volatility, volatility clustering, moving average (MA) and exponential weighted moving average (EWMA) models for the volatility dynamics, autoregressive conditional heteroskedasticity (ARCH), the family of GARCH models, extensions of the basic GARCH framework - asymmetric volatility effects, empirical applications.
• Covariance models: time variations in the covariance structure of time series, EWMA models and multivariate extensions of the basic GARCH framework, empirical applications.
• Panel data analysis techniques
Course Bibliography (Eudoxus)
1) Κ. Συριόπουλος, Δ. Φίλιππας, Οικονομετρικά Υποδείγματα και Εφαρμογές, εκδ. Ε. & Δ. Ανικούλα, Θεσσαλονίκη 2010.
2) Γ. Χάλκος, Οικονομετρία, εκδ. Gutenberg, Αθήνα 2011.
Additional bibliography for study
1) Xρήστου Γ. (2011), Εισαγωγή στην Οικονομετρία, Gutenberg.
2) Enders, W. (2009), Applied Econometric Analysis, John Wiley & Sons, 3rd edition.
4) Brooks, Ch. (2008), Introductory Econometrics For Finance, Cambridge University Press, 2nd edition.
5) Box G., Jenkins, G. M., Reinsel, G. (2008), Time Series Analysis: Forecasting & Control, Prentice Hall, 4th edition.
6) Alexander, C. (2009), Market Risk Analysis, Four Volume Boxset, Wiley.