Forecasting with Elements of Technical Analysis MI2202lic

Course content:
1. Basic forecasting methods.
2. Ex post and ex ante forecasting errors. Stages of forecasting.
3. Time series forecasting methods. Naive method.
4. Based on moving average forecasting methods and their practical applications in technical analysis.
5. Smoothing models.
6. Holta model.
7. Winters model.
8. Forecasting based on econometric models.


Learning outcomes:
Knowledge and abilities to use basic time-series forecasting methods.