35483 Numerical Methods for Finance
6cp;
4hpw
Requisite(s): 35102 Mathematics 2 AND 35170 Introduction to Computing AND 35361 Probability and Stochastic Processes
This subject covers the basic numerical methods needed in financial applications, in particular in the pricing and hedging of derivative financial instruments; introduction to Visual Basic in the context of numerical analysis; numerical methods: solution of nonlinear equations, fixed point and Newton's methods; numerical linear alegbra: LU factorisation method, vector and matrix norms, iterative methods (Jacobi and Gauss-Seidel) for solving linear systems, analysis of convergence, applications to finite difference methods; interpolation: Lagrange and iterated divided difference methods; numerical differentiation and integration: Newton-Cotes methods; Monte Carlo simulation and binomial lattice methods with application to computational finance; and initial value problems for ordinary differential equations: Euler's method and Runge-Kutta methods, predictor-corrector methods.
Typical availability
Autumn semester, City campus
2006 contribution for 2005/06 commencing Commonwealth-supported undergraduate students: $872.38
2006 amount for undergraduate domestic fee-paying students: $2,190.00
Subject EFTSL: 0.125
Note: The above fees are applicable in 2006 for 2005/06 commencing Commonwealth-supported and domestic fee-paying undergraduate students only. Pre-2005 Commonwealth-supported undergraduate students should consult the
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