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/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */

 Copyright (C) 2008 Roland Lichters
 Copyright (C) 2009 Jose Aparicio

 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
 <quantlib-dev@lists.sf.net>. 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 <ql/experimental/credit/randomdefaultmodel.hpp>
#include <ql/math/solvers1d/brent.hpp>

using namespace std;

namespace QuantLib {

    namespace {

        // Utility for the numerical solver
        class Root {
            Root(const Handle<DefaultProbabilityTermStructure> dts, Real pd)
            : dts_(dts), pd_(pd) {}
            Real operator()(Real t) const {
                QL_REQUIRE (t >= 0.0, "t < 0");
                return dts_->defaultProbability(t, true) - pd_;
            const Handle<DefaultProbabilityTermStructure> dts_;
            Real pd_;


                               boost::shared_ptr<Pool> pool,
                               const std::vector<DefaultProbKey>& defaultKeys,
                               Handle<OneFactorCopula> copula,
                               Real accuracy,
                               long seed)
        : RandomDefaultModel(pool, defaultKeys),
          rsg_(PseudoRandom::make_sequence_generator(pool->size()+1, seed)) {}

    void GaussianRandomDefaultModel::reset() {
        Size dim = pool_->size() + 1;
        rsg_ = PseudoRandom::make_sequence_generator(dim, seed_);

00063     void GaussianRandomDefaultModel::nextSequence(Real tmax) {
        const std::vector<Real>& values = rsg_.nextSequence().value;
        Real a = sqrt(copula_->correlation());
        for (Size j = 0; j < pool_->size(); j++) {
            const string name = pool_->names()[j];
            const Handle<DefaultProbabilityTermStructure>&
                dts = pool_->get(name).defaultProbability(defaultKeys_[j]);

            Real y = a * values[0] + sqrt(1-a*a) * values[j+1];
            Real p = CumulativeNormalDistribution()(y);

            if (dts->defaultProbability(tmax) < p)
                pool_->setTime(name, tmax+1);
                pool_->setTime(name, Brent().solve(Root(dts,p),accuracy_,0,1));


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