Faculty of Business and Economics

Undergraduate - Unit

This unit entry is for students who completed this unit in 2014 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 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedCaulfield First semester 2014 (Day)
Coordinator(s)Associate Professor Elizabeth Maharaj


Basic forecasting tools. Review of basic time series analysis techniques. Moving averages and exponential smoothing forecasting methods. Box-Jenkins method of forecasting. Comparison of forecasting techniques. Introduction to time series regression and dynamic models. Applications to time series from the accounting, economics, banking, finance and management areas. Excel and SPSS will be used.


The learning goals associated with this unit are to:

  1. identify the basic tools of forecasting and define the basic time series analysis techniques
  2. describe the decomposition techniques, exponential smoothing forecasting techniques and Box-Jenkins method of forecasting
  3. compare the forecasts of real economic, business and financial time series by decomposition techniques and exponential smoothing techniques using Excel and Box Jenkins method using SPSS
  4. differentiate between decomposition methods, exponential smoothing methods and autoregressive methods of forecasting
  5. analyse time series in the business environment using the appropriate methods and interpret computer output.


Within semester assessment: 40%
Examination: 60%

Chief examiner(s)

Workload requirements

3 hours per week


Students must have passed ETX2111, ETX2121, ETF2121, ETF2100 or ETC1010 before undertaking this unit.