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Course profile

Computation in Financial Mathematics (MATH4090)

Study period
Sem 2 2024
Location
St Lucia
Attendance mode
In Person

Course overview

Study period
Semester 2, 2024 (22/07/2024 - 18/11/2024)
Study level
Undergraduate
Location
St Lucia
Attendance mode
In Person
Units
2
Administrative campus
St Lucia
Coordinating unit
Mathematics & Physics School

Introduction to computational methods in finance & applications. Topics from binomial trees, numerical solution of stochastic differential equations, and numerical solution of Black-Scholes like partial differential equations.

The past few decades have witnessed an explosion in the trading of sophisticated financial instruments, known as derivatives. Financial derivative securities, such as options, can be viewed as a form of insurance or used for speculation purposes. These instruments are routinely used by large corporations to hedge currency fluctuations, uncertain energy costs and commodity price volatility.

Modern finance now requires use of sophisticated computational tools for pricing and hedging derivative contracts. In this course, we will study a variety of numerical approaches for carrying out these tasks and explore the links among them, namely

  • Tree methods
  • Numerical methods for partial differential equations
  • Monte Carlo simulation and variance reduction techniques.

In particular, we will focus on applications of these computational methods in pricing and hedging popular types of derivatives, such as European, American, and Asian options, in the context of Black Scholes model, and its extensions, including local/stochastic volatility and/or stochastic interest rates. MATLAB will be the official programming language for this course.

Course requirements

Assumed background

The basics of financial mathematics from MATH3090 (some ofᅠ these topics will be reviewed):

  • Present value, bonds, yields, the yield curves
  • Induction
  • Tree methods (single/multi period)
  • First Fundamental Theorem of Asset Pricing
  • Option pricing via replication and risk-neutral equivalent measure
  • Derivation of the Black-Scholes Partial Differential Equation and the Black-Scholes formula

Basics of stochastic processes in finance (some of these topics will be reviewed):

  • Brownian motions
  • Geometric Brownian Motions
  • Martingales.

ᅠStatistics and probability theory (some of these topics will be reviewed):

  • Normal/lognormal variables, mean and variance and their estimation, correlation.
  • The central limit theorem.

Some basic programming skills.

  • Basicᅠknowledge of some programming language, such as MATLAB (loops, if-else statement, functions, scripts, etc)

Prerequisites

You'll need to complete the following courses before enrolling in this one:

MATH3090

Recommended prerequisites

We recommend completing the following courses before enrolling in this one:

MATH4091

Course contact

Tutor

Mr Qingyuan Zhang

Course staff

Timetable

The timetable for this course is available on the UQ Public Timetable.

Additional timetable information

All classes will be conducted on campus at the times and location advertised in your personal timetable.

Tutorials start the second week of the semester.

Make-up lessons for public holidays will be scheduled. Please check Blackboard for details.

Important: If you are ill, then do not attend any classes in person. Alternative arrangements can be organised – consult Blackboard for details.

Aims and outcomes

To understand a range of numerical methods commonly used to solve problems arising in financial mathematics.

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Use binomial trees (lattice methods) to price financial derivatives with focus on European and American-style, and barrier (path-dependent) options.

LO2.

Develop efficient Monte Carlo simulation and effective variance reduction techniques for pricing options, with focus on European, American style (early exercise), and Asian (path-dependent) options.

LO3.

Derive partial differential equations arising in option pricing, and solve them efficiently numerically, with focus on European, American-style (early exercise) and Asian (path-dependent) options.

LO4.

Understand the concepts of convergence and stability of numerical partial differential equation methods, and be able to carry out relevant analysis.

LO5.

Understand and be able to develop numerical methods for pricing derivatives under more realistic models, such as local or stochastic volatility, or stochastic interest rates.

Assessment

Assessment summary

Category Assessment task Weight Due date
Computer Code, Paper/ Report/ Annotation, Essay/ Critique, Tutorial/ Problem Set Assignment 1 20%

16/08/2024 5:00 pm

Computer Code, Paper/ Report/ Annotation, Essay/ Critique, Tutorial/ Problem Set Assignment 2 20%

13/09/2024 5:00 pm

Computer Code, Paper/ Report/ Annotation, Essay/ Critique, Tutorial/ Problem Set Assignment 3 20%

18/10/2024 5:00 pm

Examination Examination
  • Hurdle
40%

End of Semester Exam Period

2/11/2024 - 16/11/2024

A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.

Assessment details

Assignment 1

Mode
Written
Category
Computer Code, Paper/ Report/ Annotation, Essay/ Critique, Tutorial/ Problem Set
Weight
20%
Due date

16/08/2024 5:00 pm

Learning outcomes
L01, L05

Task description

This assignment will involve the applications, development and assessment of the numerical methods developed in lectures. The assignment will require programming. In particular, the assignment will involve certain aspects of numerical computation and programming in Matlab, including, but are not limited to, (i) developing numerical algorithms, (ii) understanding and being able to use start code, and (iii) writing, testing/debugging code in Matlab. 

Submission guidelines

Upload via Blackboard: Please submit your written answers to all the assignment questions as one PDF document. If you need to add code please do so as separate clearly labelled files.

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

Solutions for assessment item/s will be released 7 days after the assessment is due and as such, an extension after 7 days will not be possible.

See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item then the listed penalty will be deducted per day for up to 7 calendar days, at which point any submission will not receive any marks unless an extension has been approved. Each 24-hour block is recorded from the time the submission is due.

Assignment 2

Mode
Written
Category
Computer Code, Paper/ Report/ Annotation, Essay/ Critique, Tutorial/ Problem Set
Weight
20%
Due date

13/09/2024 5:00 pm

Learning outcomes
L03, L04, L05

Task description

This assignment will involve the applications, development and assessment of the numerical methods developed in lectures. The assignment will require programming. In particular, the assignment will involve certain aspects of numerical computation and programming in Matlab, including, but are not limited to, (i) developing numerical algorithms, (ii) understanding and being able to use start code, and (iii) writing, testing/debugging code in Matlab. 

Submission guidelines

Upload via Blackboard: Please submit your written answers to all the assignment questions as one PDF document. If you need to add code please do so as separate clearly labelled files.

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item then the listed penalty will be deducted per day for up to 7 calendar days, at which point any submission will not receive any marks unless an extension has been approved. Each 24-hour block is recorded from the time the submission is due.

Assignment 3

Mode
Written
Category
Computer Code, Paper/ Report/ Annotation, Essay/ Critique, Tutorial/ Problem Set
Weight
20%
Due date

18/10/2024 5:00 pm

Learning outcomes
L02, L05

Task description

This assignment will involve the applications, development and assessment of the numerical methods developed in lectures. The assignment will require programming. In particular, the assignment will involve certain aspects of numerical computation and programming in Matlab, including, but are not limited to, (i) developing numerical algorithms, (ii) understanding and being able to use start code, and (iii) writing, testing/debugging code in Matlab. 

Submission guidelines

Upload via Blackboard: Please submit your written answers to all the assignment questions as one PDF document. If you need to add code please do so as separate clearly labelled files.

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

Solutions for assessment item/s will be released 7 days after the assessment is due and as such, an extension after 7 days will not be possible.

See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item then the listed penalty will be deducted per day for up to 7 calendar days, at which point any submission will not receive any marks unless an extension has been approved. Each 24-hour block is recorded from the time the submission is due.

Examination

  • Hurdle
Mode
Written
Category
Examination
Weight
40%
Due date

End of Semester Exam Period

2/11/2024 - 16/11/2024

Learning outcomes
L01, L02, L03, L04, L05

Task description

The examination will test all topics investigated in the course. The final examination will involve certain aspects of numerical computation, including, but are not limited to, understanding and developing numerical algorithms. No Matlab programming will be tested on the final exam.

Hurdle requirements

See COURSE GRADING INFORMATION for the hurdle relating to this assessment item.

Exam details

Planning time 10 minutes
Duration 120 minutes
Calculator options

(In person) Casio FX82 series only or UQ approved and labelled calculator

Open/closed book Closed Book examination - no written materials permitted
Exam platform Paper based
Invigilation

Invigilated in person

Submission guidelines

N/A

Deferral or extension

You may be able to defer this exam.

See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.

Course grading

Full criteria for each grade is available in the Assessment Procedure.

Grade Description
1 (Low Fail)

Absence of evidence of achievement of course learning outcomes.

Course grade description: Total mark less than 20%

2 (Fail)

Minimal evidence of achievement of course learning outcomes.

Course grade description: Total mark at least 20% and less than 45%

3 (Marginal Fail)

Demonstrated evidence of developing achievement of course learning outcomes

Course grade description: Total mark at least 45% and less than 50%, OR a total mark of at least 50% and less than 40% on the examination

4 (Pass)

Demonstrated evidence of functional achievement of course learning outcomes.

Course grade description: Total mark at least 50% and less than 65% Hurdle: Students must achieve a mark of 40% or more on the final exam to pass the subject.

5 (Credit)

Demonstrated evidence of proficient achievement of course learning outcomes.

Course grade description: Total mark at least 65% and less than 75% Hurdle: Students must achieve a mark of 40% or more on the final exam to pass the subject.

6 (Distinction)

Demonstrated evidence of advanced achievement of course learning outcomes.

Course grade description: Total mark at least 75% and less than 85% Hurdle: Students must achieve a mark of 40% or more on the final exam to pass the subject.

7 (High Distinction)

Demonstrated evidence of exceptional achievement of course learning outcomes.

Course grade description: Total mark between 85% and 100% Hurdle: Students must achieve a mark of 40% or more on the final exam to pass the subject.

Additional course grading information

Hurdle: ᅠStudents must achieve a mark of 40% or more on the examination to pass the subject.

Supplementary assessment

Supplementary assessment is available for this course.

Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to my.UQ for information on supplementary assessment and how to apply. 

Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.  

If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.  

Supplementary assessment in this course will be a 2-hour examination similar in style to the end-of-semester examination. To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment. 

Additional assessment information

Artificial Intelligence

The assessment tasks in this course evaluate students’ abilities, skills and knowledge without the aid of Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute misconduct under the Student Code of Conduct. 

Applications for Extensions to Assessment Due Dates

Extension requests are submitted online via my.UQ – applying for an extension. Extension requests received in any other way will not be approved. Additional details associated with extension requests, including acceptable and unacceptable reasons, may be found at my.UQ.

Please note:

  • Requests for an extension to an assessment due date must be submitted through your my.UQ portal and you must provide documentation of your circumstances, as soon as it becomes evident that an extension is needed. Your application must be submitted on or before the assessment item's due date and time.
  • Applications for extension can take time to be processed so you should continue to work on your assessment item while awaiting a decision. We recommend that you submit any completed work by the due date, and this will be marked if your application is not approved. Should your application be approved, then you will be able to resubmit by the agreed revised due date.
  • If an extension is approved, you will be notified via your my.UQ portal and the new date and time for submission provided. It is important that you check the revised date as it may differ from the date that you requested.
  • If the basis of the application is a medical condition, applications should be accompanied by a medical certificate dated prior to the assignment due date. If you are unable to provide documentation to support your application by the due date and time you must still submit your application on time and attach a written statement (Word document) outlining why you cannot provide the documentation. You must then upload the documentation to the portal within 24 hours.
  • If an extension is being sought on the basis of exceptional circumstances, it must be accompanied by supporting documentation (eg. Statutory declaration).
  • For extensions based on a SAP you may be granted a maximum of 7 days (if no earlier maximum timeframe applies). See the Extension or Deferral availability section of each assessment for details. Your SAP is all that is required as documentation to support your application. However, additional extension requests for the assessment item will require the submission of additional supporting documentation e.g., a medical certificate. All extension requests must be received by the assessment due date and time.
  • An extension for an assessment item due within the teaching period in which the course is offered, must not exceed four weeks in total. If you are incapacitated for a period exceeding four weeks of the teaching period, you are advised to apply for Removal of Course.
  • If you have been ill or unable to attend class for more than 14 days, you are advised to carefully consider whether you are capable of successfully completing your courses this semester. You might be eligible to withdraw without academic penalty - seek advice from the Faculty that administers your program.
  • Students may be asked to submit evidence of work completed to date. Lack of adequate progress on your assessment item may result in an extension being denied.
  • There are no provisions for exemption from an assessment item within UQ rules. If you are unable to submit an assessment piece then, under special circumstances, you may be granted an exemption, but may be required to submit alternative assessment to ensure all learning outcomes are met.

Applications to defer an exam

In certain circumstances you can apply to take a deferred examination for in-semester and end-of-semester exams. You'll need to demonstrate through supporting documentation how unavoidable circumstances prevented you from sitting your exam. If you can’t, you can apply for a one-off discretionary deferred exam.

Deferred Exam requests are submitted online via mySi-net. Requests received in any other way will not be approved. Additional details associated with deferred examinations, including acceptable and unacceptable reasons may be found at my.UQ.

Please note:

  • Applications can be submitted no later than 5 calendar days after the date of the original exam.
  • There are no provisions to defer a deferred exam. You need to be available to sit your deferred examination.
  • Your deferred examination request(s) must have a status of "submitted" in mySI-net to be assessed.
  • All applications for deferred in-semester examinations are assessed by the relevant school. Applications for deferred end-of-semester examinations are assessed by the Academic Services Division.
  • You’ll receive an email to your student email account when the status of your application is updated.
  • If you have a medical condition, mental health condition or disability and require alternative arrangements for your deferred exam you’ll need to complete the online alternative exam arrangements through my.UQ. This is in addition to your deferred examinations request. You need to submit this request on the same day as your request for a deferred exam or supplementary assessment. Contact Student Services if you need assistance completing your alternative exam arrangements request.

Learning resources

You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.

Library resources

Find the required and recommended resources for this course on the UQ Library website.

Additional learning resources information

Students should regularly check the Blackboard website https://learn.uq.edu.au for course materials and additional resources.

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Learning period Activity type Topic
Multiple weeks

From Week 1 To Week 13

Lecture

Notes on Computational Finance

The lectures will be based on lecture notes developed by the lecturers.

Learning outcomes: L01, L02, L03, L04, L05

Multiple weeks

From Week 2 To Week 13

Tutorial

Enhancing computer-based problem solving skills

The tutorials will discuss lecture material, mathematical exercises and computing assignments. The primary focus will be on enhancing students' computer-based problem solving skills.

Learning outcomes: L01, L02, L03, L04, L05

Policies and procedures

University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.