ETW3232 - Forecasting for business
6 points, SCA Band 0 (NATIONAL PRIORITY), 0.125 EFTSL
Undergraduate Faculty of Business and Economics
Leader(s): Dr Harmindar Nath
Berwick Second semester 2009 (Day)
The unit aims to introduce the art of forecasting via a modelling approach. It will cover the nature and essentials of forecasting, residual analysis, the moving averages and exponential smoothing forecasting techniques, decomposition methods of forecasting, regression and ARIMA forecasting models. Applications will include areas of accounting, economics, banking, finance, marketing and management. Excel and SPSS will be used.
The learning goals associated with this unit are to:
- demonstrate an understanding of the basics of the art of forecasting, recognise limitations of forecasting models and describe the importance of following a pragmatic approach
- discuss the importance of the role of graphs, forecast errors and statistics in building a forecast model, and the use of prediction intervals
- apply acquired skills and knowledge to forecast economic, business and financial time series using smoothing, decomposition, Regression and ARIMA forecasting techniques with the help of Excel and or SPSS
- evaluate competing forecasting models
- apply acquired skills in interpreting computer output and report writing.
Within semester assessment: 40%
Examination (2 hours): 60%.
Two 1-hour lectures and one 1-hour laboratory/tutorial per week