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ECO240 Forecasting for Business (8)

Abstract

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 Availability Modes and Location

Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: ECO240
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration Grading System School:
One sessionHD/FLSchool of Accounting and Finance

Assumed Knowledge

QBM117

Enrolment restrictions

Not available to students who have completed ECO250

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

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

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The information contained in the 2018 CSU Handbook was accurate at the date of publication: 24 November 2017. The University reserves the right to vary the information at any time without notice.