This file demonstrates applciation of Alternating direction Implicit finite difference method to solve call option price of an arithmetic average fixed strike asian option. It also demonstartes superior stability in comparing to implicit or explicit methods
For the spatial grid assume the following 2 axes:
S=stock price
A=Arithmetic average of stock price
Notes:
1. Upwind scheme is used to discretize the asian option PDE as mentioned in eqns 12-15 of paper
Efficient Pricing of an Asian Put Option Using Stiff ODE Methods 2. First half timestep implements S explcit and A implicit. While next half timestep has S implicit and A explicit.
3. A simple Gauss siedel mehtod is used to do Finite difference for each set of equations.
4. Environment is based on using GSL library on Visual Studio 2005 C++ express. To setup GSL and VS 2005 pl. refer
How do I use GSL on Visual C++ 2005 express? 5. The result is tested by comparing data from
Asian Option price using Monte carlo simulationfollowing are some test results:
double S0=100; //Spot price (S0)
double K=100; // option strike
double sigma=0.15; //volatility
double r=0.05; //Risk free rate [r]
double T=1; //Maturity of Option in years (T)
MC option price=4.7315
FD option price=4.77736
double S0=100;
double K=100;
double sigma=0.2;
double r=0.1;
double T=1;
MC option price=7.1027
FD option price=7.1315
6.ADI method has superior convergence as compared to pure implicit method. For example, the pure 2D implicit method implementation
Asian Option Price using 2D Finite Difference Method works for sigma=0.15 and sigma=0.25 but blows up for sigma=0.5. While ADI method seems to be close enough.
double S0=100;
double K=100;
double sigma=0.5;
double r=0.1;
double T=1;
MC option price=13.2946
FD option price=13.3061
) Date (
American Call spread using Andersen's method
1421 
0 bytes 
C++ 
