ETF5231 Business forecasting
Faculty of Business and Economics
ETF5231 Business forecasting is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2020 in Semester 1 at Caulfield. It needs ETF2100, ETF5910, ETS2111, ETC2410, ETC3440, ETF2121, ETF5912, ETS2410, ETC3460, ETF3300, ETF5930, ETW2111, ETC5346, ETF5330, ETF5952, ETW2410 or ETB2111.
- Credit points
- 6
- Offered in 2020
- Semester 1
- Caulfield
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETF5231
Prerequisites
Pass these before you enrol.
- ETF2100Introductory econometricsNo reviews yet
- ETF5910Introductory applied econometricsNo reviews yet
- ETS2111Business data modellingNo reviews yet
- ETC2410Introductory econometricsNo reviews yet
- ETC3440Introductory econometricsNo reviews yet
- ETF2121Data analysis in businessNo reviews yet
- ETF5912Data analysis in businessNo reviews yet
- ETS2410Introductory econometricsNo reviews yet
- ETC3460Financial econometricsNo reviews yet
- ETF3300Quantitative methods for financial marketsNo reviews yet
- ETF5930Financial econometricsNo reviews yet
- ETW2111Business data modellingNo reviews yet
- ETC5346Financial econometricsNo reviews yet
- ETF5330Quantitative methods for financial marketsNo reviews yet
- ETF5952Quantitative methods for risk analysisNo reviews yet
- ETW2410Introductory econometricsNo reviews yet
- ETB2111Business data modellingNo reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After ETF5231
No unit lists ETF5231 as a prerequisite in the 2020 handbook.
Equivalent units
The same content under another code. Only one of them counts.
Overview
Forecasts are crucial for guiding the planning and decision making process in business. In this unit you will learn to apply reliable methods for generating accurate forecasts in a rapidly changing business environment. These include: an introduction to regression modelling from a forecasting perspective, classical decomposition, exponential smoothing, Box-Jenkins ARIMA modelling and judgemental forecasting. You will build your programming skills by learning to program in R, a free programming language for statistical computing.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | On campus |
Learning outcomes
When you finish this unit, you should be able to:
- 1
develop statistical skills for analysing data in a business environment
- 2
learn how to build accurate and robust models for forecasting
- 3
acquire computer skills vital for forecasting business and economic data
- 4
gain knowledge of the theoretical aspects of the models used.
Workload and teaching
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
Where it fits
ETF5231 is part of 1 area of study in the 2020 handbook.
Contacts
- Chief Examiners
- Professor George Athanasopoulos
Common questions
What are the prerequisites for ETF5231?
You need ETF2100, ETF5910, ETS2111, ETC2410, ETC3440, ETF2121, ETF5912, ETS2410, ETC3460, ETF3300, ETF5930, ETW2111, ETC5346, ETF5330, ETF5952, ETW2410 or ETB2111 before you enrol.
When is ETF5231 offered?
In 2020, ETF5231 runs in Semester 1 at Caulfield.
How much work is ETF5231?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Which majors and minors include ETF5231?
ETF5231 is part of Financial and risk management.