Students

ACST3007 – Quantitative Asset and Liability Modelling 2

2022 – Session 2, In person-scheduled-weekday, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Convenor
Zhuo Jin
zhuo.jin@mq.edu.au
Room 731, 4 Eastern Rd
Lecturer, Tutor
Ning Wang
ning.wang@mq.edu.au
Credit points Credit points
10
Prerequisites Prerequisites
ACST306 or ACST3006
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

The topics covered in this unit include: an introduction to stochastic processes; martingales; an introduction to stochastic calculus; Ito's lemma; forwards, futures, swaps and options; arbitrage-free pricing via replicating portfolio and risk neutral probability measures; the Girsanov theorem; the Black-Scholes option pricing model for European options; the 'Greeks' and dynamic hedging; term structure of interest rates; relations among short rates, forward rates and default-free zero-coupon bonds; interest rate models; firm-value and intensity-based credit risk models; ruin theory; valuation of basic guarantees. Students gaining a credit average in both ACST3006 and ACST3007 (minimum mark of 60 on both units) will satisfy the requirements for exemption from the professional subject CM2 of the Actuaries Institute.

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: Understand the use of stochastic calculus in modelling security prices and valuation of option pricing approaches.
  • ULO2: Demonstrate an understanding of the Black-Scholes option pricing model via both the partial differential equation approach and the risk-neutral pricing approach.
  • ULO3: Describe the use of interest models in term of structure modelling and pricing of zero-coupon bonds.
  • ULO4: Describe the different approaches to modelling credit risk.
  • ULO5: Apply ruin theory to insurance problems.

General Assessment Information

Late Assessment Submission Penalty (written assessments) 

 Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11.55pm. A 1-hour grace period is provided to students who experience a technical concern.  

 For any late submissions of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.

Assessment Tasks

Name Weighting Hurdle Due
Assignment 20% No 29/9/2022 11:55pm
Class Test 20% No 17/10/2022, 2pm
Final Exam 60% No University examination period

Assignment

Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 20 hours
Due: 29/9/2022 11:55pm
Weighting: 20%

 

This is an individual assignment which focuses on problem solving using Excel spreadsheet.

 
On successful completion you will be able to:
  • Understand the use of stochastic calculus in modelling security prices and valuation of option pricing approaches.
  • Demonstrate an understanding of the Black-Scholes option pricing model via both the partial differential equation approach and the risk-neutral pricing approach.
  • Describe the use of interest models in term of structure modelling and pricing of zero-coupon bonds.

Class Test

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 12 hours
Due: 17/10/2022, 2pm
Weighting: 20%

 

The test will be approximately 90 minutes, to be held during class time.

 
On successful completion you will be able to:
  • Understand the use of stochastic calculus in modelling security prices and valuation of option pricing approaches.
  • Demonstrate an understanding of the Black-Scholes option pricing model via both the partial differential equation approach and the risk-neutral pricing approach.
  • Describe the use of interest models in term of structure modelling and pricing of zero-coupon bonds.

Final Exam

Assessment Type 1: Examination
Indicative Time on Task 2: 28 hours
Due: University examination period
Weighting: 60%

 

The final examination will be a three-hour written exam with ten minutes reading time, to be held during the University Examination period.

 
On successful completion you will be able to:
  • Understand the use of stochastic calculus in modelling security prices and valuation of option pricing approaches.
  • Demonstrate an understanding of the Black-Scholes option pricing model via both the partial differential equation approach and the risk-neutral pricing approach.
  • Describe the use of interest models in term of structure modelling and pricing of zero-coupon bonds.
  • Describe the different approaches to modelling credit risk.
  • Apply ruin theory to insurance problems.

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

Classes

Please refer to iLearn for further details. 

Required and Recommended Texts and/or Materials

Required texts

Detailed lecture notes and tutorial exercises are available on the unit's iLearn site.

Recommended Textbooks

•Options, Futures and Other Derivatives (9th edition); John Hull

•An Introduction to the Mathematics of Financial Derivatives (2nd edition); Salih N. Neftci

•Interest Rate Models: An Introduction; Andrew J. G. Cairns

•Insurance Risk and Ruin (2nd edition); David C. M. Dickson 

A copy of these books is available in the Reserve section of the Library.

Technology Used and Required

Students need to be able to use computer softwares (such as Excel, R) to analyse financial problems. Although the unit does not aim to teach students how to use these softwares, you are encouraged to make use of spreadsheets and other software packages for the assignment.

Unit Webpage

The webpage for this unit can be accessed via the iLearn site at: http://ilearn.mq.edu.au/

Teaching and Learning Strategy

The unit is taught using two-hour lecture and one-hour tutorial each week.  You are expected to read lecture materials in advance of the lectures.  The tutorial is an opportunity for you to attempt questions for each section of work, or to ask questions. It is highly recommended to try to solve questions in advance of the tutorials. 

 

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. 

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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.

Unit information based on version 2022.05 of the Handbook