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1. Modelling Tools for Financial Options
Options
Model of the financial markets
The binomial method
Stochastic processes
Stochastic differential equations
Ito lemma and implications
2. Generating Random Numbers with Specified
Distributions
Pseudo-random numbers
Transformed random variables
Normally distributed random variables
Sequences of numbers with low discrepancy
3. Numerical Integration of Stochastic
Differential Equations
Approximation error
Stochastic Taylor expansion
Examples of numerical methods
Intermediate values
Monte Carlo simulation
4. Finite Difference and Standard Options
Preparations
Foundations of finite-difference methods
Crank-Nicolson
Boundary conditions
American options as free boundary-value problems
Computation of American options
On the accuracy
5. Finite-Element Methods
Weighted residuals
Galerkin approach with hat functions
Application to standard options
Error estimates
6. Pricing of Exotic Options
Exotic options
Asian options
Numerical aspects
Upwind schemes and other methods
High resolution methods |