Undergraduate - UnitETW3420 - Principles of forecasting and applications

This unit entry is for students who completed this unit in 2013 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 3, 0.125 EFTSL

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Level	Undergraduate
Faculty	Faculty of Business and Economics
Organisational Unit	Department of Econometrics and Business Statistics
Offered	Sunway First semester 2013 (Day)
Coordinator(s)	Associate Professor Santha Vaithilingam

Synopsis

Topics include fundamentals of forecasting, univariate and multivariate forecasting tools. The univariate forecasting tools include moving averages, exponential smoothing forecasting, seasonal decomposition, review of basic time series analysis and Box-Jenkins (ARIMA) models. Econometric approaches to multivariate forecasting include regression models, modelling and forecasting with ARIMA processes and evaluation of forecasts. Introduction to qualitative forecasting methods including technological forecasting methods. Excel, SPSS and EViews will be used.

Outcomes

The learning goals associated with this unit are to:

recognise typical forecasting problems in business and economics
understand and appreciate statistical underpinning and foundation of forecasting techniques
be familiar with the various tools used in forecasting and to be able to apply these techniques appropriately and recognise the strengths and weaknesses of the techniques used
have an appreciation of forecasting in practice
develop quantitative research skills and ability in interpreting computer output and to be able to write and present reports effectively.