Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Lance Fisher
E4A 410
TBA
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
27cp at 100 level or above including (6cp at 200 level including (ECON241 or STAT272))
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit is highly recommended for students majoring in economics and finance. Finance professionals use econometric techniques in portfolio management, risk management and securities analysis. This unit is intended to provide students with the tools necessary for financial applications. Statistical techniques are developed within the context of particular financial applications. Recent empirical evidence is also discussed. Although ECON232 is not a prerequisite, it is highly recommended.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Name | Weighting | Hurdle | Due |
---|---|---|---|
Class Test | 30% | No | Week 7 |
Individual Assignment | 30% | No | Thursday 4pm, Week 10 |
Final Examination | 40% | No | University Examination Period |
Due: Week 7
Weighting: 30%
The class test will be held during your assigned lecture in Week 7. The test will consist of multiple-choice questions, and will cover all material up to and including Week 5. A calculator is needed for the test and attendance is compulsory. If you fail to attend the test you will be awarded a zero mark. There will be no catch-up or supplementary tests. However, for students who experience serious misadventure and are unable to attend the test should apply for special consideration with appropriate documentary evidence within 5 working days of the test. For those students, missed assessment will be covered by a supplementary assessment that could include an oral component, which will be two weeks after the date of the original assessment.
Due: Thursday 4pm, Week 10
Weighting: 30%
The assignment is due at 4pm on Thursday of Week 10. Assignments are to be submitted electronically through iLearn. Late submission: No extensions will be granted. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission incurs a 20% penalty). Late submissions will be accepted up to 96 hours after the due date and time. This penalty does not apply for cases in which an application for Special Consideration is made and approved. Note: applications for Special Consideration Policy must be made within 5 (five) business days of the due date and time.
Due: University Examination Period
Weighting: 40%
The final exam is a closed book examination. Details of the content of the final examination will be provided on iLearn in due course. Only non-programmable calculators without alphabetic storage capability are allowed into the examination room. Statistical tables are provided. The time and venue of the exam will be organised and announced in due time by the University.
The prescribed textbook for the unit is:
Brooks, C. (2019) Introductory Econometrics for Finance, 4th Edition, Cambridge University Press. The 4th Edition of the textbook has just been published. You can use the 3rd Edition of the textbook (2014) instead if you prefer.
The textbook can be purchased from the Macquarie University Co-op Bookshop, and it is also available in the Macquarie Library. Additional references, though useful but not required, include:
(i) Campbell, J., Lo, A., and Mackinlay, C. (1997) The Econometrics of Financial Markets, Princeton University Press. (This book is too advanced for our class, but contains a lot of interesting material).
(ii) Diebold, F. (2007) Elements of Forecasting, 4th Edition, South-Western College.
(iii) Enders, W. (2014) Applied Econometric Time Series, 4th Edition, Wiley.
• Material such as lecture slides, examples, and tutorial questions will be available on the unit home page. The text and lecture notes, together with the lectures and additional references will provide students with a clear indication of the basic content of the unit.
• It is recommended that students attend all lectures and tutorials for several reasons including:
• Not all the material in the text is included in the unit, and not all the material in the unit is covered in the text. In some places the text deals with issues in greater depth than is necessary for the unit, and in other places it doesn’t go far enough. The lectures contain all the unit material taught at the level required for the assessment tasks, and are your guide to the unit content.
• The approaches to some problems that are recommended by the lecturer are different to those in the text.
• The lectures will include guidance about the style and content of the final exam and recommendation about study technique.
• It is difficult (and often impossible) for staff to provide meaningful assistance to students outside class times on topics for which they did not attend the relevant lectures and tutorials.
Students are required to use a computer to carry out certain tasks of the course, such as tutorials and assignments. The software programs used in this course include EViews 10 and Microsoft Excel.
Unit Web Page
• Course material is available on the learning management system (iLearn), which can be found at: http://ilearn.mq.edu.au.
Week No. |
Lecture Topic |
Tutorials |
1 |
Characteristics of Financial Data; Revision of Basic Mathematical and Statistical Concepts Textbook: Chapter 1 and Chapter 2, all sections; 4th or 3rd Edition. Lecture Notes. |
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2 |
Correlation and Basic Regression Methods Textbook: Chapter 3, all sections, excluding the appendix. 4th or 3rd Edition. Lecture Notes. |
Tutorial Week 2 |
3 |
Multiple Linear Regression Model Textbook: 4th Edition Chapter 4, Sections 4.1 to 4.7 inclusive, Section 4.9. Lecture Notes; or Textbook: 3rd Edition Chapter 4, Sections 4.1 to 4.8 inclusive, Section 4.10. Lecture Notes. |
Tutorial Week 3 |
4 |
Regression Model Diagnostics Textbook: 4th Edition Chapter 5, all sections. Chapter 10, Sections 10.1 to 10.3 inclusive. Lecture Notes; or Textbook: 3rd Edition Chapter 5, all sections. Chapter 10, Sections 10.1 to 10.3 inclusive. Lecture Notes. |
Tutorial Week 4 |
5 |
Time Series Models Textbook: 4th Edition, Chapter 6, Sections 6.1 to 6.5. Lecture Notes; or Textbook: 3rd Edition, Chapter 6, Sections 6.1 to 6.5. Lecture Notes. |
Tutorial Week 5 |
6 |
Identification of Time Series Models Textbook: 4th Edition, Chapter 6, Sections 6.6 to 6.8. Lecture Notes; or Textbook: 3rd Edition, Chapter 6, Sections 6.6 to 6.9. Lecture Notes. |
Tutorial Week 6 |
7 |
Class Test |
Tutorial Week 7 |
Mid-semester Break |
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8 |
Forecasting with Time Series Models Textbook: 4th Edition, Chapter 6, Sections 6.10. Lecture Notes; or Textbook: 3rd Edition, Chapter 6, Sections 6.11 and 6.12. Lecture Notes. |
Tutorial Week 8 |
9 |
Modeling Volatility: Specification and Estimation of ARCH and GARCH Models Textbook: 4th Edition, Chapter 9, Sections 9.1 to 9.4 inclusive, Sections 9.6 to 9.9 inclusive. Lecture Notes; or Textbook: 3rd Edition, Chapter 9, Sections 9.1 to 9.4 inclusive, Sections 9.6 to 9.9 inclusive. Lecture Notes. |
Tutorial Week 9 |
10 |
Modeling Volatility: Extensions of ARCH and GARCH Models. Textbook: 4th Edition, Chapter 9, Sections 9.10 to 9.17 inclusive, Lecture Notes; or Textbook: 3rd Edition, Chapter 9, Sections 9.10 to 9.18 inclusive, Lecture Notes. Assignment due Thursday 4pm. |
Tutorial Week 10 |
11 |
Forecasting Volatility. Textbook: 4th Edition, Chapter 9, Sections 9.18. Lecture Notes; or Textbook: 3rd Edition, Chapter 9, Sections 9.17, 9.19. Lecture Notes. |
Tutorial Week 11 |
12 |
Long-Run Relationships in Finance Textbook: 4th Edition, Chapter 8, Sections 8.1, 8.3 to 8.6.1 inclusive. Lecture Notes; or Textbook: 3rd Edition, Chapter 8, Sections 8.1, 8.3 to 8.7.1 inclusive. Lecture Notes. |
Tutorial Week 12 |
13 |
Bivariate Autoregressive Models Textbook: 4th Edition, Chapter 7, Sections 7.10, 7.12. Lecture Notes; or Textbook: 3rd Edition, Chapter 7, Sections 7.11, 7.13. Lecture Notes. |
Tutorial Week 13 |
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• This unit uses research by Macquarie University researchers as follows:
1. Bui, A-T, and Fisher, L., (2016) "The Relative Term Structure and the Australian - US Exchange Rate", Studies in Economics and Finance, Vol. 33(3), 417-436.
2. Fisher, L, and Voss, G. (2004) "Consumption, Wealth and Expected Stock Returns in Australia", Economic Record, Vol. 80, 359-372.
3. Heaton, C, Milunovich, G, and Passé-de Silva, A., (2011) “International Commodity Prices and the Australian Stock Market”, Economic Record, Vol. 87, 37-44.
4. Milunovich, G. (2011) “Measuring the Impact of the GFC on European Equity Markets”, Economics Bulletin, Vol. 31(2), 1237-1246.
5. Milunovich, G. and Tan, A. (2013) “Testing for Contagion in US Industry Portfolios – A Four-Factor Pricing Approach”, Applied Financial Economics, Vol. 23(1), 15-26.
• This unit uses research from external sources (as referenced in the textbook)
• This unit gives you practice in applying research findings in your assignments
• This unit gives you opportunities to conduct your own research