| Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer
Kai Li
Contact via kai.li@mq.edu.au
ER4 518
2-3:00 PM, Tuesday
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
AFIN2050 and (AFIN2070 or STAT2372)
|
| Corequisites |
Corequisites
|
| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
This unit examines optimal investments strategies with respect to risk and return; the role and characteristics of international financial markets and institutions; the pricing of various financial products and how they can be used for hedging. It builds econometric models based on financial variables and how these are utilised in managing market, credit and operational risks. Students are also introduced to advanced techniques in financial markets and risk management practices. |
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 Submission Penalties
If you submit your assessment late, 5% of the total possible marks will be deducted for each day (including weekends), up to 7 days. Submissions more than 7 days late will receive a mark of 0.
Example 1 (out of 100):
If you score 85/100 but submit 20 hours late, you will lose 5 marks and receive 80/100.
Example 2 (out of 30):
If you score 27/30 but submit 20 hours late, you will lose 1.5 marks and receive 25.5/30.
Extensions
Automatic short extension: Some assessments are eligible for automatic short extension. You can only apply for an automatic short extension before the due date.
Special Consideration: If you need more time due to serious issues and for any assessments that are not eligible for Short Extension, you must apply for Special Consideration. Need help? Review the Special Consideration page for further details.
| Name | Weighting | Hurdle | Due | Groupwork/Individual | Short Extension | AI Approach |
|---|---|---|---|---|---|---|
| Skills development: Risk management in practice | 20% | No | 28/04/2026 | Individual | No | Open AI |
| Professional practice: Quantitative analysis | 30% | No | 10/05/2026 | Individual | Yes | Open AI |
| Formal examination | 50% | No | University’s formal examination period | Individual | No | Observed |
Assessment Type 1: Problem-based task
Indicative Time on Task 2: 15 hours
Due: 28/04/2026
Weighting: 20%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Open AI
The purpose of this assessment is for you to demonstrate your understanding and knowledge of key topics from the unit. You will participate in a quiz. Feedback on your performance will help you assess your progress through the unit content. Deliverable(s): Quiz Individual assessment
Assessment Type 1: Professional task
Indicative Time on Task 2: 20 hours
Due: 10/05/2026
Weighting: 30%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open AI
The purpose of this assessment is for you to deepen your understanding and expertise in financial risk management. You will conduct a quantitative analysis of a financial scenario. Skills in focus:
Deliverable(s): Written submission: [max 1,000 words] (not including functions, equations, numbers) Individual assessment
Assessment Type 1: Examination
Indicative Time on Task 2: 35 hours
Due: University’s formal examination period
Weighting: 50%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed
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.
3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.
Please refer to iLearn for details.
|
Week |
Textbook chapters |
Topic |
|
1 |
1-6 |
Introduction |
|
2 |
7-9 |
Managing Market and Interest Rate Risk |
|
3 |
10, 11 |
Volatility, Correlation and Copulas |
|
4 |
12, 13 |
Value-at-Risk, Expected Shortfall and Historical Simulation |
|
5 |
13, 14 |
Model-Building Approach to Value-at-Risk and Expected Shortfall |
|
6 |
15-18 |
Regulation |
|
|
|
Mid-Session Break |
|
7 |
17, 19 |
Credit Risk |
|
8 |
|
Mid Session Test |
|
9 |
20, 21 |
CVA, DVA and Credit VaR |
|
10 |
22, 23 |
Scenario Analysis, Stress Testing and Operational Risk |
|
11 |
24, 25 |
Liquidity and Model Risk |
|
12 |
26-29 |
Economic Capital, Enterprise Risk Management, Financial Innovation and Risk Management Mistakes to Avoid |
|
13 |
|
Revision |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2026.03 of the Handbook