This subject is an introduction to single equation forecasting methods and their applications to business, finance, economics and marketing. Special emphasis will be given to core forecasting techniques with the widest applicability. Attention will be paid to modelling and forecasting trends and cycles with topics including forecasting regression models, leading indicators, exponential smoothing methods, ARIMA models, pooling forecast procedures and forecast evaluation. The subject is applications-orientated and will make use of the computer software Eviews. -- Course Website
Prerequisites: One of: Subject Study Period Commencement: Credit Points: ECOM20001 Introductory Econometrics Semester 1, Semester 2 12.50 ECON20003 Quantitative Methods 2 Summer Term, Semester 1, Semester 2 12.50 MGMT20005 Business Decision Analysis Semester 1 1