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MATH6115 Mathematical Finance

Offered By Department of Mathematics
Academic Career Graduate Coursework
Course Subject Mathematics
Offered in Second Semester, 2009 and Second Semester, 2010
Unit Value 6 units
Course Description

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

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)
Course Classification(s) AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs. and SpecialistSpecialist courses are designed for students having reached 'first degree' level of assumed knowledge, which provide for the acquisition of specialist skills; or 'second degree' and higher level of knowledge; or for transition to research training programs; or knowledge associated with professional accreditation.
Areas of Interest Mathematics
Eligibility Bachelor degree; with third year Mathematics.
Requisite Statement Third year Mathematics is required. 
Consent Required Please contact MATHSadmin@maths.anu.edu.au for consent to enrol in this course.
Programs Master of Mathematical Sciences

The information published on the Study at ANU 2009 website applies to the 2009 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2008 website.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions