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#include <algorithm>
#include <iostream>
#include "rqmc.hpp"
#include "p_adic.o"
double frac_part(double x){
return x - floor(x);
}
double pos (double x){
return x>0?x:0;
}
struct asian_option : public std::unary_function<std::vector<double>, double>
{
asian_option(double r, double T, double S0, double V, int d, double K)
: r(r), T(T), S0(S0), V(V), d(d), K(K) {};
double operator()(std::vector<double> X) const {
std::vector<double> S(d);
S[0]= S0*exp((r-V*V/2)*(T/d)+V*sqrt(T/d)*X[0]);
for(int i=1;i<d;i++){
S[i]=S[i-1]*exp((r-V*V/2)*(T/d)+V*sqrt(T/d)*X[i]);
}
double temp = std::accumulate(S.begin(), S.end(), 0.)/d;
return exp(-r*T)*pos(temp-K);
};
private:
double r;
double T;
double S0;
double V;
int d;
double K;
};
template <typename Fct, typename LDS>
struct quasi_option : public generator<typename Fct::result_type>
{
quasi_option(int n, int d, Fct payoff) : n(n), d(d), payoff(payoff), G(d) {};
typename Fct::result_type operator()() {
double sum =0;
for(int i=0; i<n; i++){
sum += payoff(G());
}
return sum/n;
};
private:
int n, d;
Fct payoff;
quasi_gaussian<LDS> G;
};
int main(){
init_alea(1);
asian_option A(0.05, 1.0, 50.0, 0.1, 16, 45);
int N= 10000;
int d =16;
std::vector<double> result(3);
result = monte_carlo(100, quasi_option<asian_option, sobol> (N, d, A));
for(int i =0; i<3; i++){
std::cout<<result[i]<<std::endl;
}
std::vector<double> result2(3);
result = monte_carlo(100, quasi_option<asian_option, halton> (N, d, A));
for(int i =0; i<3; i++){
std::cout<<result[i]<<std::endl;
}
return 0;
}
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