• Offered by Department of Mathematics
  • ANU College ANU Joint Colleges of Science
  • Classification Advanced
    Specialist
  • Course subject Mathematics
  • Areas of interest Mathematics
  • Academic career PGRD
  • Course convener
    • AsPr John Urbas
    • Dr Dale Roberts
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2015
    See Future Offerings

This course introduces stochastic calculus based on Brownian motion and applies the theoretical concepts to finance, and especially, to option pricing within the Black-Scholes framework.

Stochastic ("Ito") calculus differs significantly from "ordinary" calculus because we want to integrate and differentiate with respect to the random Brownian motion process, which is not of bounded variation. It is essential for an understanding of the fundamental and advanced aspects of financial mathematics.

The course develops the basic concepts of:

  • The Ito integral with an emphasis on martingales
  • The Ito formula as a differentiation rule for stochastic processes
  • The martingale representation theorem is derived
  • The course continues with stochastic differential equations and develops the connection between them and "ordinary" partial differential equations.
  • The modern finance theory of options pricing is developed and analysed using martingale methods and the techniques of stochastic integration theory.
  • The renowned Black-Scholes formula is derived
  • The course goes on to advanced options pricing techniques including a discussion of early exercise ("American") options.

Note: Graduate students attend joint classes with undergraduates but will be assessed separately.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

On successful completion of this course, students will be able to:

1. Explain the core mathematical tools and fundamental concepts of modern financial mathematics;
2. Solve a range of option pricing and hedging problems;
3. Apply the concepts of no arbitrage and risk minimisation in a range of quantitative finance contexts;
4. Demonstrate capabilities for advanced mathematical reasoning, analysis and modelling linked to the theory of stochastic processes.

Indicative Assessment

Assessment is expected to be based on:

  • Assignments (50%; LO 1-4)
  • Final examination (50%; LO 1-4)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Requisite and Incompatibility

You are not able to enrol in this course if you have completed MATH3015

You will need to contact the Department of Mathematics to request a permission code to enrol in this course.

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2015 $3096
International fee paying students
Year Fee
2015 $4146
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
1907 20 Jul 2015 07 Aug 2015 31 Aug 2015 30 Oct 2015 In Person N/A

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