1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225
|
/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
/*
Copyright (C) 2024 Klaus Spanderen
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
<https://www.quantlib.org/license.shtml>.
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/exercise.hpp>
#include <ql/processes/blackscholesprocess.hpp>
#include <ql/math/matrixutilities/getcovariance.hpp>
#include <ql/math/distributions/normaldistribution.hpp>
#include <ql/math/matrixutilities/symmetricschurdecomposition.hpp>
#include <ql/methods/finitedifferences/meshers/fdmmeshercomposite.hpp>
#include <ql/methods/finitedifferences/meshers/predefined1dmesher.hpp>
#include <ql/methods/finitedifferences/operators/fdmwienerop.hpp>
#include <ql/methods/finitedifferences/solvers/fdmndimsolver.hpp>
#include <ql/methods/finitedifferences/utilities/fdminnervaluecalculator.hpp>
#include <ql/methods/finitedifferences/stepconditions/fdmstepconditioncomposite.hpp>
#include <ql/pricingengines/basket/fdndimblackscholesvanillaengine.hpp>
#include <ql/pricingengines/basket/vectorbsmprocessextractor.hpp>
#include <boost/preprocessor/iteration/local.hpp>
#include <utility>
namespace QuantLib {
namespace detail {
class FdmPCABasketInnerValue: public FdmInnerValueCalculator {
public:
FdmPCABasketInnerValue(
ext::shared_ptr<BasketPayoff> payoff,
ext::shared_ptr<FdmMesher> mesher,
Array logS0, const Array& vols,
std::vector<ext::shared_ptr<YieldTermStructure>> qTS,
ext::shared_ptr<YieldTermStructure> rTS,
Matrix Q, Array l)
: n_(logS0.size()),
payoff_(std::move(payoff)),
mesher_(std::move(mesher)),
logS0_(std::move(logS0)), v_(vols*vols),
qTS_(std::move(qTS)),
rTS_(std::move(rTS)),
Q_(std::move(Q)), l_(std::move(l)),
cachedT_(Null<Real>()),
qf_(n_) { }
Real innerValue(const FdmLinearOpIterator& iter, Time t) override {
if (!close_enough(t, cachedT_)) {
rf_ = rTS_->discount(t);
for (Size i=0; i < n_; ++i)
qf_[i] = qTS_[i]->discount(t);
}
Array x(n_);
for (Size i=0; i < n_; ++i)
x[i] = mesher_->location(iter, i);
const Array S = Exp(Q_*x - 0.5*v_*t + logS0_)*qf_/rf_;
return (*payoff_)(S);
}
Real avgInnerValue(const FdmLinearOpIterator& iter, Time t) override {
return innerValue(iter, t);
}
private:
const Size n_;
const ext::shared_ptr<BasketPayoff> payoff_;
const ext::shared_ptr<FdmMesher> mesher_;
const Array logS0_, v_;
const std::vector<ext::shared_ptr<YieldTermStructure>> qTS_;
const ext::shared_ptr<YieldTermStructure> rTS_;
const Matrix Q_;
const Array l_;
Time cachedT_;
Array qf_;
DiscountFactor rf_;
};
}
FdndimBlackScholesVanillaEngine::FdndimBlackScholesVanillaEngine(
std::vector<ext::shared_ptr<GeneralizedBlackScholesProcess> > processes,
Matrix rho,
std::vector<Size> xGrids,
Size tGrid, Size dampingSteps,
const FdmSchemeDesc& schemeDesc)
: processes_(std::move(processes)),
rho_(std::move(rho)),
xGrids_(std::move(xGrids)),
tGrid_(tGrid),
dampingSteps_(dampingSteps),
schemeDesc_(schemeDesc) {
QL_REQUIRE(!processes_.empty(), "no Black-Scholes process is given.");
QL_REQUIRE(rho_.size1() == rho_.size2()
&& rho_.size1() == processes_.size(),
"correlation matrix has the wrong size.");
QL_REQUIRE(xGrids_.size() == 1 || xGrids_.size() == processes_.size(),
"wrong number of xGrids is given.");
std::for_each(processes_.begin(), processes_.end(),
[this](const auto& p) { registerWith(p); });
}
FdndimBlackScholesVanillaEngine::FdndimBlackScholesVanillaEngine(
std::vector<ext::shared_ptr<GeneralizedBlackScholesProcess> > processes,
Matrix rho, Size xGrid, Size tGrid, Size dampingSteps,
const FdmSchemeDesc& schemeDesc)
: FdndimBlackScholesVanillaEngine(
std::move(processes), std::move(rho), std::vector<Size>(1, xGrid), tGrid, dampingSteps, schemeDesc)
{}
void FdndimBlackScholesVanillaEngine::calculate() const {
#ifndef PDE_MAX_SUPPORTED_DIM
#define PDE_MAX_SUPPORTED_DIM 4
#endif
QL_REQUIRE(processes_.size() <= PDE_MAX_SUPPORTED_DIM,
"This engine does not support " << processes_.size() << " underlyings. "
<< "Max number of underlyings is " << PDE_MAX_SUPPORTED_DIM << ". "
<< "Please change preprocessor constant PDE_MAX_SUPPORTED_DIM and recompile "
<< "if a larger number of underlyings is needed.");
const Date maturityDate = arguments_.exercise->lastDate();
const Time maturity = processes_[0]->time(maturityDate);
const Real sqrtT = std::sqrt(maturity);
const detail::VectorBsmProcessExtractor pExtractor(processes_);
const Array s = pExtractor.getSpot();
const Array dq = pExtractor.getDividendYieldDf(maturityDate);
const Array stdDev = Sqrt(pExtractor.getBlackVariance(maturityDate));
const Array vols = stdDev / sqrtT;
const SymmetricSchurDecomposition schur(
getCovariance(vols.begin(), vols.end(), rho_));
const Matrix& Q = schur.eigenvectors();
const Array& l = schur.eigenvalues();
const Real eps = 1e-4;
std::vector<ext::shared_ptr<Fdm1dMesher> > meshers;
for (Size i=0; i < processes_.size(); ++i) {
const Size xGrid = (xGrids_.size() > 1)
? xGrids_[i]
: std::max(Size(4), Size(xGrids_[0]*std::pow(l[i]/l[0], 0.1)));
QL_REQUIRE(xGrid >= 4, "minimum grid size is four");
const Real xStepStize = (1.0-2*eps)/(xGrid-1);
std::vector<Real> x(xGrid);
for (Size j=0; j < xGrid; ++j)
x[j] = 1.3*std::sqrt(l[i])*sqrtT
*InverseCumulativeNormal()(eps + j*xStepStize);
meshers.emplace_back(ext::make_shared<Predefined1dMesher>(x));
}
const ext::shared_ptr<FdmMesherComposite> mesher =
ext::make_shared<FdmMesherComposite>(meshers);
const ext::shared_ptr<BasketPayoff> payoff
= ext::dynamic_pointer_cast<BasketPayoff>(arguments_.payoff);
QL_REQUIRE(payoff, "basket payoff expected");
const ext::shared_ptr<YieldTermStructure> rTS =
processes_[0]->riskFreeRate().currentLink();
std::vector<ext::shared_ptr<YieldTermStructure>> qTS(processes_.size());
for (Size i=0; i < processes_.size(); ++i)
qTS[i] = processes_[i]->dividendYield().currentLink();
const ext::shared_ptr<FdmInnerValueCalculator> calculator =
ext::make_shared<detail::FdmPCABasketInnerValue>(
payoff, mesher,
Log(s), stdDev/sqrtT,
qTS, rTS,
Q, l
);
const ext::shared_ptr<FdmStepConditionComposite> conditions
= FdmStepConditionComposite::vanillaComposite(
DividendSchedule(), arguments_.exercise,
mesher, calculator,
rTS->referenceDate(), rTS->dayCounter());
const FdmBoundaryConditionSet boundaries;
const FdmSolverDesc solverDesc
= { mesher, boundaries, conditions, calculator,
maturity, tGrid_, dampingSteps_ };
const bool isEuropean =
ext::dynamic_pointer_cast<EuropeanExercise>(arguments_.exercise) != nullptr;
const ext::shared_ptr<FdmWienerOp> op =
ext::make_shared<FdmWienerOp>(
mesher,
(isEuropean)? ext::shared_ptr<YieldTermStructure>() : rTS,
l);
switch(processes_.size()) {
#define BOOST_PP_LOCAL_MACRO(n) \
case n : \
results_.value = ext::make_shared<FdmNdimSolver<n>>( \
solverDesc, schemeDesc_, op)->interpolateAt( \
std::vector<Real>(processes_.size(), 0.0)); \
break;
#define BOOST_PP_LOCAL_LIMITS (1, PDE_MAX_SUPPORTED_DIM)
#include BOOST_PP_LOCAL_ITERATE()
default:
QL_FAIL("Not implemented for " << processes_.size() << " processes");
}
if (isEuropean)
results_.value *= pExtractor.getInterestRateDf(maturityDate);
}
}
|