Students

AFIN8039 – Portfolio Management

2022 – Session 1, In person-scheduled-weekday, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Convenor
Simon Wong
Kai Li
Credit points Credit points
10
Prerequisites Prerequisites
(ACST603 or ACST6003 or AFIN6012 or AFIN858) or (10cp in ACCG or ACST or AFIN or BUS or ECON or MKTG or MGMT units at 6000 level)
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description
This unit covers the principles, theory and techniques of portfolio management. Study of this unit provides a basis for the effective management of investment portfolios, as well as an understanding of the limitations of techniques commonly applied to problems of portfolio construction and performance evaluation.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Explain the behavioural and statistical assumptions underlying the tools and techniques of portfolio management and have developed an awareness of their rationale and limitations.
  • ULO2: Recognise the economic principles of arbitrage and market efficiency.
  • ULO3: Apply key factor pricing models to practical problems in portfolio construction and performance evaluation.
  • ULO4: Generalise the sources of modelled risk and approaches to managing such exposures.

General Assessment Information

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

Other assessment criteria for assessment tasks will be provided on the unit iLearn site.

Assessment Tasks

Name Weighting Hurdle Due
Online Quiz 5% No Week 4
Mid Session Test 20% No Week 7
Individual assignment 25% No Week 10
Final Examination 50% No University Exam Period

Online Quiz

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 1 hours
Due: Week 4
Weighting: 5%

 

The online quiz will consist of 5 to 10 multiple choice and/or short answer questions and will be available on iLearn. Please use the quiz result as an indicator of whether you are progressing satisfactorily in the unit.

 


On successful completion you will be able to:
  • Explain the behavioural and statistical assumptions underlying the tools and techniques of portfolio management and have developed an awareness of their rationale and limitations.

Mid Session Test

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 15 hours
Due: Week 7
Weighting: 20%

 

A mid session test of 90 minutes will be held to give students practice on a summative task and to provide feedback on their progress midway through the session.

 


On successful completion you will be able to:
  • Explain the behavioural and statistical assumptions underlying the tools and techniques of portfolio management and have developed an awareness of their rationale and limitations.
  • Recognise the economic principles of arbitrage and market efficiency.
  • Apply key factor pricing models to practical problems in portfolio construction and performance evaluation.
  • Generalise the sources of modelled risk and approaches to managing such exposures.

Individual assignment

Assessment Type 1: Project
Indicative Time on Task 2: 20 hours
Due: Week 10
Weighting: 25%

 

Student will conduct quantitative and qualitative analysis on a finance scenario / problem and produce a report on the findings.

 


On successful completion you will be able to:
  • Explain the behavioural and statistical assumptions underlying the tools and techniques of portfolio management and have developed an awareness of their rationale and limitations.
  • Recognise the economic principles of arbitrage and market efficiency.
  • Apply key factor pricing models to practical problems in portfolio construction and performance evaluation.
  • Generalise the sources of modelled risk and approaches to managing such exposures.

Final Examination

Assessment Type 1: Examination
Indicative Time on Task 2: 20 hours
Due: University Exam Period
Weighting: 50%

 

An exam of two hours will be held during the University Examination Period.

 


On successful completion you will be able to:
  • Explain the behavioural and statistical assumptions underlying the tools and techniques of portfolio management and have developed an awareness of their rationale and limitations.
  • Recognise the economic principles of arbitrage and market efficiency.
  • Apply key factor pricing models to practical problems in portfolio construction and performance evaluation.
  • Generalise the sources of modelled risk and approaches to managing such exposures.

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Delivery and Resources

There are no required textbooks that must be bought. But the following textbooks are recommended:

  • Investments, Zvi Bodie, Alex Kean, Alan J. Marcus, McGraw-Hill Education, Latest Edition
  • Investment Analysis and Portfolio Management, Reilly and Brown, South-Western Cengage Learning
  • Running Money, Professional Portfolio Management, Stewart, Piros and Heisler, McGraw-Hill Irwin
  • Modern Portfolio Theory and Investment Analysis, Elton, Gruber, Brown and Goetzmann, John Wiley and Sons, Inc.
  • Modern Investment Theory, Haugen, Prentice Hall
  • Investment Science, David Luenberger, Oxford University Press

These books are available for purchase from the online bookshop Booktopia, and copies will be available in the closed reserve section of the Macquarie Library.

Unit Schedule

Please refer to iLearn.

Policies and Procedures

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.

Student Code of Conduct

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

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 ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Academic Integrity

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.

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

The Writing Centre

The Writing Centre 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. 

Student Services and Support

Macquarie University offers a range of Student Support Services including:

Student Enquiries

Got a question? Ask us via AskMQ, or contact Service Connect.

IT Help

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.

Changes since First Published

Date Description
03/02/2022 Co-taught with AFIN7039

Unit information based on version 2022.03 of the Handbook