This course provides an overview of forecasting techniques and models. Models for time series: Time- dependent seasonal components. Autoregressive (AR), moving average (MA) and mixed ARMA- models. The Random Walk Model. Box-Jenkins methodology. Forecasts with ARIMA and VAR models. Dynamic models with time-shifted explanatory variables.