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Unit of study_
ECMT6003: Applied Business Forecasting
2025 unit information
This unit aims to introduce (i) the time series econometrics required for making forecasting; and (ii) the practice of forecasting in business. Forecasting requires both practical experience in model building and some statistical theory. On theoretical and empirical grounds, forecasting examples in various fields are discussed. At the end of this unit, students should be able to understand the major techniques of forecasting and be able to forecast actual time series using a statistical program. Topics covered include: the aims of forecasting and relation to time series analysis; types of time series; time series modelling and forecasting techniques; practical examples of forecasting.
Unit details and rules
Managing faculty or University school:
Arts and Social Sciences
| Study level | Postgraduate |
|---|---|
| Academic unit | Economics |
| Credit points | 6 |
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Prerequisites:
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ECMT6002 or ECMT6702 |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. understand important econometric methods and their applicability to forecasting
- LO2. utilise regression techniques for forecasting, including ARIMA, GARCH, and VAR modelling
- LO3. apply a range of models to the forecasting of economic data
- LO4. evaluate forecast accuracy for different techniques.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
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