MATH 3014 Financial Mathematics
Credit Points 10
Legacy Code 301380
Coordinator Rehez Ahlip Opens in new window
Description This subject is an introduction to stochastic calculus and relevant simulation techniques applied to modern finance and the mathematical modelling of financial markets. The core topics developed in the subject are the Ito stochastic integral, Ito's formula, and basic stochastic differential equations, as well as computer simulation techniques with emphasis on Monte Carlo simulations. Some mathematical background is assumed, but the subject will cover any necessary material that is not contained in prerequisites subjects.
School Computer, Data & Math Sciences
Student Contribution Band HECS Band 1 10cp
Check your HECS Band contribution amount via the Fees page.
Level Undergraduate Level 3 subject
Pre-requisite(s) MATH 1014 AND
MATH 1015 AND
MATH 2010 AND
Calculus, Riemann integration, QR factorisation and generalised inverses of matrices, first and second order differential equations.
- Analyse the concept of No Arbitrage and its consequences.
- Apply the binomial model to price options on non-dividend stock (using computer software such as MATLAB or R), for instance by employing Monte Carlo techniques and control variates.
- Apply key definitions and results on martingales and stochastic calculus to financial modelling.
- Explain the solution to the Black-Scholes equation for European Call and Put Options, using the general solution of the initial value problem.
- Deduce the bond pricing equation from the yield curve.
- Binomial model for stock options applied to derivatives
- Asset price random walk
- Monte Carlo simulation
- The Black-Scholes model
- Partial differential equations
- Black-Scholes formulae
- Variations on the Black-Scholes model
- Numerical methods
- Binomial approach to option pricing
- Put-Call parity
- P. Willmott, S. Howison, J. Dewynne: The Mathematics of Financial Derivatives ? A Student Introduction. Cambridge University Press, 1995.