MAE305 - Business and Financial Forecasting
|Year||2016 unit information|
Trimester 1: Burwood (Melbourne); Waterfront (Geelong); Cloud (online)
MAE101, MAE102 and MIS171
1 x 2 hour class, 1 x 1 hour lab per week
The unit introduces statistical and econometric forecasting methods used extensively in business, industry and the public sector. Students will learn and be capable of developing models for forecasting almost any economic, business or banking and industry data, utilising a forecasting computer package Eviews (the University provides Campus access). The unit is designed for practitioners and the emphasis is on empirical applications as a model for forecasting and policy analysis. Topics include: forecasting share prices using technical analysis; trend and seasonality analysis; exponential smoothing, ARIMA models; vector auto regressive modelling; error correction models; causality testing; and co-integration analysis.
Cloud (online) students need to ensure they have Eviews access either by going to Burwood (Melbourne) or Waterfront (Geelong) campuses, or by buying their own private copies.
Assignment (Quantitative) 30%
Test(s) (x 3 Cloud (online) quizzes) 20%
Examination 2 hours 50%
Hurdle requirement: achieve at least 50% of the marks available on the examination
Unit Fee Information
All Commonwealth Supported Place (CSP), fee paying undergraduate and pre-2016 commencing students
Unit fee information available soon
2016 commencing International and full fee paying postgraduate domestic students
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Course fee x unit EFTSL value = unit price