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 2020.

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

HD/FL

Duration

One session

School

School of Accounting and Finance

Enrolment Restrictions

Not available to students who have completed ECO250

Assumed Knowledge
QBM117

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.

Syllabus

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

The information contained in the CSU Handbook was accurate at the date of publication: February 2020. The University reserves the right to vary the information at any time without notice.

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