This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

ETC3450 - Time series analysis for business and economics

6 points, SCA Band 3, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics

Coordinator(s)

Mr John Stapleton

Offered

Clayton

Second semester 2016 (Day)

Synopsis

This unit provides an introduction to modern time series methods. The topics covered include a review of stationary, univariate ARMA models, stochastic and deterministic trends, testing for unit roots, vector auto regressions, multivariate cointegration and error correction models.

Outcomes

The learning goals associated with this unit are to:

model and forecast stationary autoregressive and moving average time series
test for unit roots in univariate time series
analyse the relationships between multiple, stationary time series
test for, estimate and interpret the long run relationships between non-stationary time series.

Assessment

Within semester assessment: 40%
Examination: 60%

Workload requirements

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.

Chief examiner(s)

Mr John Stapleton

Prerequisites

Students must have passed either ETC2410 or ECC2410 before undertaking this unit or must be enrolled in course 3822 or 4412.