ETC4345 - Time series analysis for business and economics
6 points, SCA Band 3, 0.125 EFTSL
Undergraduate, Postgraduate Faculty of Business and Economics
Leader(s): Mr John Stapleton
Clayton Second semester 2009 (Day)
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 autoregressions, multivariate cointegration and error correction models.
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.
Within semester assessment: 40%. Examination (2 hours): 60%
Two 1-hour lectures and one 2-hour tutorial per week