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Time Series Analysis and Forecasting (ECOM30004)
Undergraduate level 3Points: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Overview
Availability | Semester 2 |
---|---|
Fees | Look up fees |
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.
Intended learning outcomes
On successful completion of this subject students should be able to:
- Apply the Box-Jenkins methodology for identifying stationary and non-stationary univariate forecasting models,
- Apply VAR/VECM models to analyse relationships between economic and financial time series,
- Apply ARCH models to analyse and forecast the volatility of financial time series.
Generic skills
On successful completion of this subject, students should have improved the following generic skills:
- Evaluation of ideas, views and evidence
- Synthesis of ideas, views and evidence
- Strategic thinking
- Critical thinking
- Accessing economic and other information
- Summary and interpretation of information
- Application of Windows software
- Statistical reasoning
- Problem solving skills
- Written communication
Last updated: 11 April 2024
Eligibility and requirements
Prerequisites
One of:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM20001 | Econometrics 1 |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
ECOM30001 | Basic Econometrics | Semester 1 (On Campus - Parkville) |
12.5 |
ECOM30002 | Econometrics 2 |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
OR both of the following:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20004 | Probability | Semester 1 (On Campus - Parkville) |
12.5 |
MAST20005 | Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM90004 | Time Series Analysis and Forecasting | Semester 2 (On Campus - Parkville) |
12.5 |
Recommended background knowledge
Please refer to Prerequisites and Corequisites.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 11 April 2024
Assessment
Additional details
- A 2-hour end-of-semester examination (60%)
- Four assignments of no more than 1000 words each due in weeks 3, 6, 9 and 12 (40% - 10% each)
- To pass this subject students must pass the end of semester examination.
Last updated: 11 April 2024
Dates & times
- Semester 2
Principal coordinator Barry Rafferty Mode of delivery On Campus (Parkville) Contact hours Two 1-hour lectures and a 1-hour tutorial/practice class per week Total time commitment 170 hours Teaching period 23 July 2018 to 21 October 2018 Last self-enrol date 3 August 2018 Census date 31 August 2018 Last date to withdraw without fail 21 September 2018 Assessment period ends 16 November 2018 Semester 2 contact information
Time commitment details
An estimated total time commitment of at least 170 hours.
Last updated: 11 April 2024
Further information
- Texts
Prescribed texts
You will be advised of prescribed texts by your lecturer.
- Related Handbook entries
- Breadth options
This subject is available as breadth in the following courses:
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Last updated: 11 April 2024