316-350 Time Series Analysis and Forecasting | |
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Credit Points | 12.5 |
HECS Band | 2 |
Coordinator | Dr D Harris |
Prerequisites | 316-317 Econometrics or 316-316 Basic Econometrics or both 620-201 Probability and 620-202 Statistics. |
Semester | 2 (view timetable) |
Contact | Two 1-hour lectures and a 1-hour tutorial/practice class a week |
Subject Description | Normally topics will include current techniques used in forecasting in finance, accounting and economics such as regression models, Box-Jenkins, ARIMA models, vector autoregression, causality analysis, cointegration and forecast evaluation, and ARCH models. The computer software used is EVIEWS. |
Assessment | A 2-hour examination (60%); empirical exercises (40%). |
Prescribed Texts |
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Status: Official 2002 Last Modified: Tuesday May 07 22:11 SGML to HTML Conversion: Information Technology Services Authorised by: Academic Registrar Email Enquiries: Course_Information@registrar.unimelb.edu.au