Handbook home
Time Series Analysis and Forecasting (ECOM90004)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
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 - Dual-Delivery |
---|---|
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, 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: 3 November 2022
Eligibility and requirements
Prerequisites
Admission into MC-COMACTS Master of Commerce (Actuarial Science) or one of:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM90002 | Econometrics 2 |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Online)
|
12.5 |
ECOM30002 | Econometrics 2 |
Semester 1 (Online)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ECOM90001 | Basic Econometrics | Semester 1 (Online) |
12.5 |
ECOM30001 | Basic Econometrics | Semester 1 (Online) |
12.5 |
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM30004 | Time Series Analysis and Forecasting | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
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: 3 November 2022
Assessment
Description | Timing | Percentage |
---|---|---|
Individual Written Assignment 1
| Week 3 | 10% |
Individual Written Assignment 2
| Week 6 | 10% |
Individual Written Assignment 3
| Week 9 | 10% |
Individual Written Assignment 4
| Week 12 | 10% |
End-of-semester examination.
| During the examination period | 60% |
Last updated: 3 November 2022
Dates & times
- Semester 2
Principal coordinator Vance Martin Mode of delivery Dual-Delivery (Parkville) Contact hours Two 1-hour lectures and a 1-hour tutorial/practice class per week. Total time commitment 170 hours Teaching period 26 July 2021 to 24 October 2021 Last self-enrol date 6 August 2021 Census date 31 August 2021 Last date to withdraw without fail 24 September 2021 Assessment period ends 19 November 2021 Semester 2 contact information
Time commitment details
Estimated total time commitment of 170 hours per semester
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
You will be advised of prescribed texts by your lecturer.
- Subject notes
Students may not gain credit for both ECOM90004 Time Series Analysis and Forecasting and ECOM30004 Time Series Analysis and Forecasting.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Applied Econometrics Course Master of Commerce (Accounting) Course Master of Commerce (Actuarial Science) Course Doctor of Philosophy - Business and Economics - 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.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022