Unit convenor and teaching staff |
Unit convenor and teaching staff
Yin Liao
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
Admission to GradCertFin or GradDipAppFin or MAppFin or MAppFin(Adv)
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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 provides the important building blocks in microeconomic and quantitative analysis required for advanced study in applied finance. Microeconomic analysis develops tools in demand and supply and critically applies these to the consumer and the firm. It concludes with an analysis of market structure. The second part of the unit develops quantitative skills that are used in finance, including descriptive statistics, probability, statistical inference, correlation and regression analysis. Spreadsheets are extensively used in statistical modelling.
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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:
Late submissions of assessments
Unless a Special Consideration request has been submitted and approved, no extensions will be granted. There will be a deduction of 10% of the total available assessment-task marks made from the total awarded mark for each 24-hour period or part thereof that the submission is late. Late submissions will only be accepted up to 96 hours after the due date and time.
No late submissions will be accepted for timed assessments – e.g., quizzes, online tests.
Table 1: Penalty calculation based on submission time
Submission time after the due date (including weekends) |
Penalty (% of available assessment task mark) |
Example: for a non-timed assessment task marked out of 30 |
< 24 hours |
10% |
10% x 30 marks = 3-mark deduction |
24-48 hours |
20% |
20% x 30 marks = 6-mark deduction |
48-72 hours |
30% |
30% x 30 marks = 9-mark deduction |
72-96 hours |
40% |
40% x 30 marks = 12-mark deduction |
> 96 hours |
100% |
Assignment won’t be accepted |
Special Consideration
To request an extension on the due date/time for a timed or non-timed assessment task, you must submit a Special Consideration application. An application for Special Consideration does not guarantee approval.
The approved extension date for a student becomes the new due date for that student. The late submission penalties above then apply as of the new due date.
Assessment Tasks
Name | Weighting | Hurdle | Due |
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Online Participation | 15% | No | Refer to iLearn |
Assessed Coursework | 55% | No | Refer to iLearn |
Final Exam | 30% | No | Exam Week |
Assessment Type 1: Participatory task Indicative Time on Task 2: 30.00 hours Due: Refer to iLearn Weighting: 15%
Participation in online discussion forums. Online discussions and tasks will be conducted during the term. You are required to participate actively in these forums, and your contributions will be assessed.
On successful completion you will be able to:
Assessment Type 1: Case study/analysis Indicative Time on Task 2: 40.00 hours Due: Refer to iLearn Weighting: 55%
You will be required to participate in a variety of assessment tasks for Economic Analysis and Quantitative Analysis. These will include written activities, online quizzes and project based learning.
On successful completion you will be able to:
Assessment Type 1: Examination Indicative Time on Task 2: 12.00 hours Due: Exam Week Weighting: 30%
Online Exam via iLearn on all Topics
On successful completion you will be able to:
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Name | Weighting | Hurdle | Due |
---|---|---|---|
Final Exam | 30% | No | Exam Week |
Online Participation | 15% | No | Refer to iLearn |
Assessed Coursework | 55% | No | Refer to iLearn |
Assessment Type 1: Examination
Indicative Time on Task 2: 12.00 hours
Due: Exam Week
Weighting: 30%
Online Exam via iLearn on all Topics
Assessment Type 1: Participatory task
Indicative Time on Task 2: 30.00 hours
Due: Refer to iLearn
Weighting: 15%
Participation in online discussion forums. Online discussions and tasks will be conducted during the term. You are required to participate actively in these forums, and your contributions will be assessed.
Assessment Type 1: Case study/analysis
Indicative Time on Task 2: 40.00 hours
Due: Refer to iLearn
Weighting: 55%
You will be required to participate in a variety of assessment tasks for Economic Analysis and Quantitative Analysis. These will include written activities, online quizzes and project based learning.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
REQUIRED AND RECOMMENDED TEXTS AND/OR MATERIALS
Required Text:
The required textbooks for this unit are:
Additional Readings:
Assumed Knowledge: Mathematical content
Assumed Access: Access to a computer with word processing and spreadsheet capability is assumed, as is general student computer literacy. In particular, students need access to a version of Microsoft Excel which includes regression analysis.
TECHNOLOGY USED AND REQUIRED
This is an online unit which will make use of the University's iLearn system.
Unit's iLearn Site:
Important Notice:
The following schedule is a guide to the timing of each topic. Details of the required readings are provided in iLearn.
Week |
Topic |
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0 |
Topic 0: Essential pre-work |
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1 |
Key concepts, supply & demand model |
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2 |
Topic 2: Market analysis & elasticity |
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3 |
Topic 3: Cost curves & the competitive market |
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4 |
Topic 4: Market structures |
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5 |
Complete Economic assessment tasks |
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5 |
Topic 5: Descriptive statistics |
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6 |
Topic 6: Probability & random variables |
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Topic 7: Statistical estimation & inference |
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9 |
Topic 8: Correlation, regression & indices |
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11 |
Complete quantitative assessment tasks Exam preparation start |
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12 |
Online exam period |
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Unit information based on version 2023.01R of the Handbook