Students

ACST816 – Quantitative Asset and Liability Modelling 1

2015 – S1 Day

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Convenor
Jiwook Jang
Contact via jiwook.jang@mq.edu.au
E4A 613
Weekly Discussion Board
Credit points Credit points
4
Prerequisites Prerequisites
(ACST601 and ACST603 and ACST604) or (admission to MActPrac post 2014)
Corequisites Corequisites
ACST851 and (STAT806 or STAT810)
Co-badged status Co-badged status
This unit is co-badged with ACST306.
Unit description Unit description
This unit examines: utility theory and simple asset allocation; mean-variance portfolio theory; the capital asset pricing model; measures of investment risk; single and multifactor models; arbitrage pricing theory; and the efficient market hypothesis. With the introduction of derivatives – forwards, futures and options – the single period binomial option pricing model (discrete time model) and the Black-Scholes option pricing model (continuous time model) are covered for European, American and exotic options. Stochastic interest rates and moments of the accumulation of annuities are also studied. Students gaining a grade of credit or higher in both ACST816 and ACST817 are eligible for exemption from subject CT8 of the professional exams of the Institute of Actuaries of Australia.

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:

  • Decision making via utility functions
  • Asset pricing using Capital Asset Pricing Model (CAPM), single/multi index models and Arbitrage Pricing Theory (APT) Model
  • Measuring investment risk using various risk measures
  • Detecting three forms of market efficiency
  • A stochastic approach to the theory of interest - the mean and variance of the accumulation of a string of payments
  • Understanding option and single to multi-period Binomial option pricing model (discrete time model), American and Exotic option pricing via Binomial model

General Assessment Information

GradeBook

Assignment and class test marks are available on GradeBook. It is the responsibility of students to view their marks for each within session assessment on iLearn within 20 working days of posting. If there are any discrepancies, students must contact the unit convenor immediately. Failure to do so will mean that queries received after the release of final results regarding assessment marks (not including the final exam mark) will not be addressed."

   

Assessment Tasks

Name Weighting Due
Class Test 1 5% Wednesday 25 March 1:00pm
Assignment 15% Monday 20 April 2:00pm
Class Test 2 10% Monday 18 May 9:00am
Final Examination 70% Examination period

Class Test 1

Due: Wednesday 25 March 1:00pm
Weighting: 5%

No materials will be allowed to take into the class test 1.  Non-programmable calculators with no text-retrieval capacity are allowed. Dictionaries are not permitted.

No extensions will be granted. Students who have not submitted the task prior to the deadline will be awarded mark of 0 for the task, except for cases in which an application for special consideration is made and approved.


On successful completion you will be able to:
  • Decision making via utility functions
  • Asset pricing using Capital Asset Pricing Model (CAPM), single/multi index models and Arbitrage Pricing Theory (APT) Model
  • Measuring investment risk using various risk measures
  • A stochastic approach to the theory of interest - the mean and variance of the accumulation of a string of payments

Assignment

Due: Monday 20 April 2:00pm
Weighting: 15%

Assignment has to be submitted to ACST307/817 Assignment Box in BESS (E4B 106).

No extensions will be granted. Late tasks will be accepted up to 72 hours after the submission deadline.  There will be a deduction of 20% 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 – 40% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved.




On successful completion you will be able to:
  • Decision making via utility functions
  • Asset pricing using Capital Asset Pricing Model (CAPM), single/multi index models and Arbitrage Pricing Theory (APT) Model

Class Test 2

Due: Monday 18 May 9:00am
Weighting: 10%

You are permitted ONE A4 page of paper containing reference material printed on both sides. The material may be handwritten or typed. The page will not be returned at the end of the class test 2.  Nonprogrammable calculators with no text-retrieval capacity are allowed. Dictionaries are not permitted.

No extensions will be granted. Students who have not submitted the task prior to the deadline will be awarded mark of 0 for the task, except for cases in which an application for special consideration is made and approved.


On successful completion you will be able to:
  • Measuring investment risk using various risk measures
  • A stochastic approach to the theory of interest - the mean and variance of the accumulation of a string of payments
  • Understanding option and single to multi-period Binomial option pricing model (discrete time model), American and Exotic option pricing via Binomial model

Final Examination

Due: Examination period
Weighting: 70%

You are permitted ONE A4 page of paper containing reference material printed on both sides. The material may be handwritten or typed. The page will not be returned at the end of the final examination. Non-programmable calculators with no text-retrieval capacity are allowed. Dictionaries are not permitted.




On successful completion you will be able to:
  • Decision making via utility functions
  • Asset pricing using Capital Asset Pricing Model (CAPM), single/multi index models and Arbitrage Pricing Theory (APT) Model
  • Measuring investment risk using various risk measures
  • Detecting three forms of market efficiency
  • A stochastic approach to the theory of interest - the mean and variance of the accumulation of a string of payments
  • Understanding option and single to multi-period Binomial option pricing model (discrete time model), American and Exotic option pricing via Binomial model

Delivery and Resources

Classes

This unit consist of 2 hours of lectures and 2 hours tutorial per week, Lectures are held at the following times: Monday 9:00-11:00noon E7B T3.

ACST816 Tutorials are held at the following times, commencing in Week 2:

Wednesday 12:00-2:00pm E4B 314 (Jiwook Jang (Week 2-13) and  Jiaqin Wei (Week 9-12))

You must attend the tutorial class. The tutorial is an opportunity for you to attempt the section exercises given at the end of each section of work, and to discuss problems with the tutor.

There is no tutorial held during Week 1.

Any alterations to the class times or locations will be advised in lectures and via the website.

Required and Recommended Texts and/or Materials Prescribed

Required texts

Lecture materials are available for downloading from ACST306/816 teaching website.

Recommended textbooks

Lecture materials are available for downloading from ACST306/816 teaching website.

  • Investment Science; David Luenberger
  • Modern Portfolio Theory and Investment Analysis; Edwin J. Elton, Martin J. Gruber, Stephen J. Brown and William N. Goetzmann
  • Investment Mathematics and Statistics; Andrew Adams, Della Bloomfield, Philip Booth and Peter England
  • Options, Futures and Other Derivatives (8th Edition); John Hull

Each copy of these books is available in the Reserve section of the Library and can be purchased from the Macquarie University Co-op bookshops

Optional ActEd material

  • The ActEd CT8, that can be purchased directly from ActEd.

Technology Used and Required

Students need to be able to use a computer to analyse financia problems l . You should be able to use a word processing package (such as WORD), a spreadsheet (such as EXCEL), a statistical package (such as MINITAB) and a programming languages (such as Visual Basics or Matlab). Although the unit does not aim to teach students how to use computers, as this is covered in prerequite units, you are encouraged to make use of spreadsheets and other software packages for the assignment.

Unit Web Page

To access the website, go to http://ilearn.mq.edu.au and login using your usual login and password.

Changes since the last offering

Nil.

   

Unit Schedule

Week Lecture Topics

1. Utility Theory

2. Decision making via utility functions

3. Mean-Variance portfolio theory

4. The CAPM

5. Single/Multi index models and Arbitrage pricing theory (APT) (Class Test 1 - Wednesday 25 March 1:00pm)

6. Measurements of investment risk (Assignment due - Monday 20th April at 2pm)

Semester Break

7. Stochastic interest rate models

8. Options, Single period Binomial option pricing model

9. Multi period Binomial option pricing model

10. American and Exotic option pricing via Binomial model

11. Class Test  2 (Monday 18 May 9:00-11:00noon)

12. Efficient market hypothesis

13. Revision

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:

Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html

Assessment Policy  http://mq.edu.au/policy/docs/assessment/policy.html

Grading Policy http://mq.edu.au/policy/docs/grading/policy.html

Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html

Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.html

Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.

In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/student_conduct/

Results

Results shown in iLearn, 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.

Supplementary Exams

Further information regarding supplementary exams, including dates, is available here http://www.businessandeconomics.mq.edu.au/current_students/undergraduate/how_do_i/special_consideration

Student Support

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

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

IT Help

For help with University computer systems and technology, visit http://informatics.mq.edu.au/help/

When using the University's IT, you must adhere to the Acceptable Use Policy. The policy applies to all who connect to the MQ network including students.

Graduate Capabilities

PG - Discipline Knowledge and Skills

Our postgraduates will be able to demonstrate a significantly enhanced depth and breadth of knowledge, scholarly understanding, and specific subject content knowledge in their chosen fields.

This graduate capability is supported by:

Learning outcomes

  • Decision making via utility functions
  • Asset pricing using Capital Asset Pricing Model (CAPM), single/multi index models and Arbitrage Pricing Theory (APT) Model
  • Measuring investment risk using various risk measures
  • Detecting three forms of market efficiency
  • A stochastic approach to the theory of interest - the mean and variance of the accumulation of a string of payments
  • Understanding option and single to multi-period Binomial option pricing model (discrete time model), American and Exotic option pricing via Binomial model

Assessment tasks

  • Class Test 1
  • Assignment
  • Class Test 2
  • Final Examination

PG - Critical, Analytical and Integrative Thinking

Our postgraduates will be capable of utilising and reflecting on prior knowledge and experience, of applying higher level critical thinking skills, and of integrating and synthesising learning and knowledge from a range of sources and environments. A characteristic of this form of thinking is the generation of new, professionally oriented knowledge through personal or group-based critique of practice and theory.

This graduate capability is supported by:

Learning outcomes

  • Decision making via utility functions
  • Asset pricing using Capital Asset Pricing Model (CAPM), single/multi index models and Arbitrage Pricing Theory (APT) Model
  • Measuring investment risk using various risk measures
  • Detecting three forms of market efficiency
  • A stochastic approach to the theory of interest - the mean and variance of the accumulation of a string of payments
  • Understanding option and single to multi-period Binomial option pricing model (discrete time model), American and Exotic option pricing via Binomial model

Assessment tasks

  • Class Test 1
  • Assignment
  • Class Test 2
  • Final Examination

PG - Research and Problem Solving Capability

Our postgraduates will be capable of systematic enquiry; able to use research skills to create new knowledge that can be applied to real world issues, or contribute to a field of study or practice to enhance society. They will be capable of creative questioning, problem finding and problem solving.

This graduate capability is supported by:

Learning outcomes

  • Decision making via utility functions
  • Asset pricing using Capital Asset Pricing Model (CAPM), single/multi index models and Arbitrage Pricing Theory (APT) Model
  • Measuring investment risk using various risk measures
  • Detecting three forms of market efficiency
  • A stochastic approach to the theory of interest - the mean and variance of the accumulation of a string of payments
  • Understanding option and single to multi-period Binomial option pricing model (discrete time model), American and Exotic option pricing via Binomial model

Assessment tasks

  • Class Test 1
  • Assignment
  • Class Test 2
  • Final Examination

Research and Practice

  • This unit uses research from external sources:

Edwin J. Elton and Martin J. Gruber: "Modern portfolio theory, 1950 to date", 

Journal of Banking & Finance, 21 (1997) 1743-1759.

Markowitz, H.M. (March 1952): "Portfolio Selection", Journal of Finance, 7 (1): 77–91.

Ross, Stephen (1976): "The arbitrage theory of capital asset pricing", Journal of Economic Theory 13 (3): 341–360.

Neumann,  John  von  &  Morgenstern,  Oskar  (1944):  Theory  of  Games  and

Economic Behavior, Princeton, NJ: Princeton University Press.

 John C. Cox, Stephen A. Ross, and  Mark Rubinstein (1979): "Option Pricing: 

A Simplified Approach", Journal of Financial Economics 7: 229-263. 

  • This unit gives you opportunities to conduct your own research. 

Changes since First Published

Date Description
09/02/2015 The due date for assignment submission in the unit schedule has been updated.