Overview
Reliable forecasts of business and economic variables must often be obtained against a backdrop of structural change in markets and the economy. This unit introduces methods suitable for forecasting in these circumstances including the decomposition of time series, exponential smoothing methods, ARIMA modelling, and regression with auto-correlated disturbances. You can … For more content click the Read More button below.
Offerings
S1-01-CLAYTON-ON-CAMPUS
Requisites
Prerequisite
Prohibition
Rules
Enrolment Rule
Contacts
Chief Examiner(s)
Professor Rob Hyndman
Learning outcomes
On successful completion of this unit, you should be able to:
1.
understand common statistical methods used in business and economic forecasting
2.
develop computer skills for forecasting business and economics time series data
3.
provide insights into the problems of implementing and operating large scale forecasting systems.
Teaching approach
Problem-based learning
Assessment
1 - Within semester assessment
2 - Examination
Scheduled and non-scheduled teaching activities
Lectures
Tutorials
Workload requirements
Workload
Other unit costs
Costs are indicative and subject to change.
Electronics, calculators and tools: $40