ETC5345 - Time series analysis for business and economics - 2019

6 points, SCA Band 3, 0.125 EFTSL

Postgraduate - 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

Chief examiner(s)

Mr John Stapleton

Coordinator(s)

Mr John Stapleton

Unit guides

Offered

Clayton

  • Second semester 2019 (On-campus)

Prerequisites

ETF2100, ETC2410, ETC3440Not offered in 2019 or equivalent.

Prohibitions

ETC3450

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:

  1. model and forecast stationary autoregressive and moving average time series
  2. test for unit roots in univariate time series
  3. analyse the relationships between multiple, stationary time series
  4. test for, estimate and interpret the long run relationships between non-stationary time series
  5. describe the use of methods learnt during the course of this unit in business and economics.

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.

See also Unit timetable information