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.

Subject Outlines
Current CSU students can view Subject Outlines for recent sessions. Please note that Subject Outlines and assessment tasks are updated each session.

No offerings have been identified for this subject in 2018.

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.


This 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 please contact Student Central or or phone on 1800 275 278.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 275 278 (free call within Australia) or enquire online.

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