ECO240 Forecasting for Business (8)
The subject describes introductory business forecasting techniques. It covers quantitative forecasting methods including, smoothing, time-series and regression techniques. Qualitative judgmental forecasting approaches are also described. Computer software is used to implement these techniques where appropriate.
No offerings have been identified for this subject in 2019.
Continuing students should consult the SAL for current offering details. Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
Subject Information
Grading System
One session
School of Accounting and Finance
Enrolment restrictions
Not available to students who have completed ECO250
Assumed Knowledge
Learning Outcomes
Upon successful completion of this subject, students should:
  • be able to explain the importance of forecasting to economic and business decision making;
  • be able to competently employ quantitative business forecasting techniques;
  • be able to employ judgemental business forecasting techniques;
  • be able to use forecasting results as an aid to solve economic and business decision making problems.
The subject will cover the following topics:
- the need and role for forecasting - review of basic statistics - computer software for forecasting - smoothing method - decomposition methods - ARIMA forecasting methods - regression methods for forecasting - judgmental approaches to forecasting - forecasting and business decision problems
Current Students

For any enquiries about subject selection or course structure you will need to contact your Course Director. You can find the name and contact details for your Course Director in your offer letter or contact your School office.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 334 733 (free call within Australia) or enquire online.

The information contained in the 2017 CSU Handbook was accurate at the date of publication: June 2018. The University reserves the right to vary the information at any time without notice.