Hamilton J.: Time Series Analysis, Princeton University Press, 1994

Rigorous treatment of state-of-the art univariate and multivariate time series methods used in economics and finance. Thorough treatment of autoregressive moving average (ARMA) models. Forecasting. Regression analysis with stationary
time series. Non-stationary processes. Structural Vector-Autoregressive Models and Cointegration. Equilibrium Correction models. Johansen methodology. Applications of time series methods in macroeconomics and finance. Modeling conditional heteroskedasticity in financial time series. Newer developments. Applications use GAUSS in practical class in PC lab.

Detailed information on the practical class will be give in the first lecture. There will be no practical class in the first week of the winter term.