/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */ /* Copyright (C) 2003, 2004 Ferdinando Ametrano This file is part of QuantLib, a free-software/open-source library for financial quantitative analysts and developers - http://quantlib.org/ QuantLib is free software: you can redistribute it and/or modify it under the terms of the QuantLib license. You should have received a copy of the license along with this program; if not, please email . The license is also available online at . This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the license for more details. */ #include #include #include namespace QuantLib { namespace { class Integrand : std::unary_function { public: Integrand(const boost::shared_ptr& payoff, Real s0, Rate drift, Real variance) : payoff_(payoff), s0_(s0), drift_(drift), variance_(variance) {} Real operator()(Real x) const { Real temp = s0_ * std::exp(x); Real result = (*payoff_)(temp); return result * std::exp(-(x - drift_)*(x -drift_)/(2.0*variance_)) ; } private: boost::shared_ptr payoff_; Real s0_; Rate drift_; Real variance_; }; } void IntegralEngine::calculate() const { QL_REQUIRE(arguments_.exercise->type() == Exercise::European, "not an European Option"); boost::shared_ptr payoff = boost::dynamic_pointer_cast(arguments_.payoff); QL_REQUIRE(payoff, "non-striked payoff given"); boost::shared_ptr process = boost::dynamic_pointer_cast( arguments_.stochasticProcess); QL_REQUIRE(process, "Black-Scholes process required"); Real variance = process->blackVolatility()->blackVariance( arguments_.exercise->lastDate(), payoff->strike()); DiscountFactor dividendDiscount = process->dividendYield()->discount(arguments_.exercise->lastDate()); DiscountFactor riskFreeDiscount = process->riskFreeRate()->discount(arguments_.exercise->lastDate()); Rate drift = std::log(dividendDiscount/riskFreeDiscount)-0.5*variance; Integrand f(arguments_.payoff, process->stateVariable()->value(), drift, variance); SegmentIntegral integrator(5000); Real infinity = 10.0*std::sqrt(variance); results_.value = process->riskFreeRate()->discount(arguments_.exercise->lastDate()) / std::sqrt(2.0*M_PI*variance) * integrator(f, drift-infinity, drift+infinity); } }