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/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
/*
Copyright (C) 2004, 2007, 2008 StatPro Italia srl
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 "toplevelfixture.hpp"
#include "utilities.hpp"
#include <ql/instruments/cliquetoption.hpp>
#include <ql/pricingengines/cliquet/analyticcliquetengine.hpp>
#include <ql/pricingengines/cliquet/analyticperformanceengine.hpp>
#include <ql/pricingengines/cliquet/mcperformanceengine.hpp>
#include <ql/processes/blackscholesprocess.hpp>
#include <ql/termstructures/volatility/equityfx/blackconstantvol.hpp>
#include <ql/termstructures/yield/flatforward.hpp>
#include <ql/time/daycounters/actual360.hpp>
#include <ql/time/period.hpp>
#include <ql/utilities/dataformatters.hpp>
#include <map>
using namespace QuantLib;
using namespace boost::unit_test_framework;
BOOST_FIXTURE_TEST_SUITE(QuantLibTests, TopLevelFixture)
BOOST_AUTO_TEST_SUITE(CliquetOptionTests)
#undef REPORT_FAILURE
#define REPORT_FAILURE(greekName, payoff, exercise, s, q, r, today, v, \
expected, calculated, error, tolerance) \
BOOST_ERROR(payoff->optionType() << " option:\n" \
<< " spot value: " << s << "\n" \
<< " moneyness: " << payoff->strike() << "\n" \
<< " dividend yield: " << io::rate(q) << "\n" \
<< " risk-free rate: " << io::rate(r) << "\n" \
<< " reference date: " << today << "\n" \
<< " maturity: " << exercise->lastDate() << "\n" \
<< " volatility: " << io::volatility(v) << "\n\n" \
<< " expected " << greekName << ": " << expected << "\n" \
<< " calculated " << greekName << ": " << calculated << "\n"\
<< " error: " << error << "\n" \
<< " tolerance: " << tolerance);
BOOST_AUTO_TEST_CASE(testValues) {
BOOST_TEST_MESSAGE("Testing Cliquet option values...");
Date today = Date::todaysDate();
DayCounter dc = Actual360();
ext::shared_ptr<SimpleQuote> spot(new SimpleQuote(60.0));
ext::shared_ptr<SimpleQuote> qRate(new SimpleQuote(0.04));
ext::shared_ptr<YieldTermStructure> qTS = flatRate(today, qRate, dc);
ext::shared_ptr<SimpleQuote> rRate(new SimpleQuote(0.08));
ext::shared_ptr<YieldTermStructure> rTS = flatRate(today, rRate, dc);
ext::shared_ptr<SimpleQuote> vol(new SimpleQuote(0.30));
ext::shared_ptr<BlackVolTermStructure> volTS = flatVol(today, vol, dc);
ext::shared_ptr<BlackScholesMertonProcess> process(
new BlackScholesMertonProcess(Handle<Quote>(spot),
Handle<YieldTermStructure>(qTS),
Handle<YieldTermStructure>(rTS),
Handle<BlackVolTermStructure>(volTS)));
ext::shared_ptr<PricingEngine> engine(new AnalyticCliquetEngine(process));
std::vector<Date> reset;
reset.push_back(today + 90);
Date maturity = today + 360;
Option::Type type = Option::Call;
Real moneyness = 1.1;
ext::shared_ptr<PercentageStrikePayoff> payoff(
new PercentageStrikePayoff(type, moneyness));
ext::shared_ptr<EuropeanExercise> exercise(
new EuropeanExercise(maturity));
CliquetOption option(payoff, exercise, reset);
option.setPricingEngine(engine);
Real calculated = option.NPV();
Real expected = 4.4064; // Haug, p.37
Real error = std::fabs(calculated-expected);
Real tolerance = 1e-4;
if (error > tolerance) {
REPORT_FAILURE("value", payoff, exercise, spot->value(),
qRate->value(), rRate->value(), today,
vol->value(), expected, calculated,
error, tolerance);
}
}
template <class T>
void testOptionGreeks() {
std::map<std::string,Real> calculated, expected, tolerance;
tolerance["delta"] = 1.0e-5;
tolerance["gamma"] = 1.0e-5;
tolerance["theta"] = 1.0e-5;
tolerance["rho"] = 1.0e-5;
tolerance["divRho"] = 1.0e-5;
tolerance["vega"] = 1.0e-5;
Option::Type types[] = { Option::Call, Option::Put };
Real moneyness[] = { 0.9, 1.0, 1.1 };
Real underlyings[] = { 100.0 };
Rate qRates[] = { 0.04, 0.05, 0.06 };
Rate rRates[] = { 0.01, 0.05, 0.15 };
Integer lengths[] = { 1, 2 };
Frequency frequencies[] = { Semiannual, Quarterly };
Volatility vols[] = { 0.11, 0.50, 1.20 };
DayCounter dc = Actual360();
Date today = Date::todaysDate();
Settings::instance().evaluationDate() = today;
ext::shared_ptr<SimpleQuote> spot(new SimpleQuote(0.0));
ext::shared_ptr<SimpleQuote> qRate(new SimpleQuote(0.0));
Handle<YieldTermStructure> qTS(flatRate(qRate, dc));
ext::shared_ptr<SimpleQuote> rRate(new SimpleQuote(0.0));
Handle<YieldTermStructure> rTS(flatRate(rRate, dc));
ext::shared_ptr<SimpleQuote> vol(new SimpleQuote(0.0));
Handle<BlackVolTermStructure> volTS(flatVol(vol, dc));
ext::shared_ptr<BlackScholesMertonProcess> process(
new BlackScholesMertonProcess(Handle<Quote>(spot),
qTS, rTS, volTS));
for (auto& type : types) {
for (Real moneynes : moneyness) {
for (int length : lengths) {
for (auto& frequencie : frequencies) {
ext::shared_ptr<EuropeanExercise> maturity(
new EuropeanExercise(today + length * Years));
ext::shared_ptr<PercentageStrikePayoff> payoff(
new PercentageStrikePayoff(type, moneynes));
std::vector<Date> reset;
for (Date d = today + Period(frequencie); d < maturity->lastDate();
d += Period(frequencie))
reset.push_back(d);
ext::shared_ptr<PricingEngine> engine(new T(process));
CliquetOption option(payoff, maturity, reset);
option.setPricingEngine(engine);
for (Real u : underlyings) {
for (Real m : qRates) {
for (Real n : rRates) {
for (Real v : vols) {
Rate q = m, r = n;
spot->setValue(u);
qRate->setValue(q);
rRate->setValue(r);
vol->setValue(v);
Real value = option.NPV();
calculated["delta"] = option.delta();
calculated["gamma"] = option.gamma();
calculated["theta"] = option.theta();
calculated["rho"] = option.rho();
calculated["divRho"] = option.dividendRho();
calculated["vega"] = option.vega();
if (value > spot->value() * 1.0e-5) {
// perturb spot and get delta and gamma
Real du = u * 1.0e-4;
spot->setValue(u + du);
Real value_p = option.NPV(), delta_p = option.delta();
spot->setValue(u - du);
Real value_m = option.NPV(), delta_m = option.delta();
spot->setValue(u);
expected["delta"] = (value_p - value_m) / (2 * du);
expected["gamma"] = (delta_p - delta_m) / (2 * du);
// perturb rates and get rho and dividend rho
Spread dr = r * 1.0e-4;
rRate->setValue(r + dr);
value_p = option.NPV();
rRate->setValue(r - dr);
value_m = option.NPV();
rRate->setValue(r);
expected["rho"] = (value_p - value_m) / (2 * dr);
Spread dq = q * 1.0e-4;
qRate->setValue(q + dq);
value_p = option.NPV();
qRate->setValue(q - dq);
value_m = option.NPV();
qRate->setValue(q);
expected["divRho"] = (value_p - value_m) / (2 * dq);
// perturb volatility and get vega
Volatility dv = v * 1.0e-4;
vol->setValue(v + dv);
value_p = option.NPV();
vol->setValue(v - dv);
value_m = option.NPV();
vol->setValue(v);
expected["vega"] = (value_p - value_m) / (2 * dv);
// perturb date and get theta
Time dT = dc.yearFraction(today - 1, today + 1);
Settings::instance().evaluationDate() = today - 1;
value_m = option.NPV();
Settings::instance().evaluationDate() = today + 1;
value_p = option.NPV();
Settings::instance().evaluationDate() = today;
expected["theta"] = (value_p - value_m) / dT;
// compare
std::map<std::string, Real>::iterator it;
for (it = calculated.begin(); it != calculated.end();
++it) {
std::string greek = it->first;
Real expct = expected[greek],
calcl = calculated[greek],
tol = tolerance[greek];
Real error = relativeError(expct, calcl, u);
if (error > tol) {
REPORT_FAILURE(greek, payoff, maturity, u, q, r,
today, v, expct, calcl, error,
tol);
}
}
}
}
}
}
}
}
}
}
}
}
BOOST_AUTO_TEST_CASE(testGreeks) {
BOOST_TEST_MESSAGE("Testing Cliquet option greeks...");
testOptionGreeks<AnalyticCliquetEngine>();
}
BOOST_AUTO_TEST_CASE(testPerformanceGreeks) {
BOOST_TEST_MESSAGE("Testing performance option greeks...");
testOptionGreeks<AnalyticPerformanceEngine>();
}
BOOST_AUTO_TEST_CASE(testMcPerformance) {
BOOST_TEST_MESSAGE(
"Testing Monte Carlo performance engine against analytic results...");
Option::Type types[] = { Option::Call, Option::Put };
Real moneyness[] = { 0.9, 1.1 };
Real underlyings[] = { 100.0 };
Rate qRates[] = { 0.04, 0.06 };
Rate rRates[] = { 0.01, 0.10 };
Integer lengths[] = { 2, 4 };
Frequency frequencies[] = { Semiannual, Quarterly };
Volatility vols[] = { 0.10, 0.90 };
DayCounter dc = Actual360();
Date today = Date::todaysDate();
Settings::instance().evaluationDate() = today;
ext::shared_ptr<SimpleQuote> spot(new SimpleQuote(0.0));
ext::shared_ptr<SimpleQuote> qRate(new SimpleQuote(0.0));
Handle<YieldTermStructure> qTS(flatRate(qRate, dc));
ext::shared_ptr<SimpleQuote> rRate(new SimpleQuote(0.0));
Handle<YieldTermStructure> rTS(flatRate(rRate, dc));
ext::shared_ptr<SimpleQuote> vol(new SimpleQuote(0.0));
Handle<BlackVolTermStructure> volTS(flatVol(vol, dc));
ext::shared_ptr<BlackScholesMertonProcess> process(
new BlackScholesMertonProcess(Handle<Quote>(spot),
qTS, rTS, volTS));
for (auto& type : types) {
for (Real moneynes : moneyness) {
for (int length : lengths) {
for (auto& frequencie : frequencies) {
auto tenor = Period(frequencie);
ext::shared_ptr<EuropeanExercise> maturity(
new EuropeanExercise(today + length * tenor));
ext::shared_ptr<PercentageStrikePayoff> payoff(
new PercentageStrikePayoff(type, moneynes));
std::vector<Date> reset;
for (Date d = today + tenor; d < maturity->lastDate(); d += tenor)
reset.push_back(d);
CliquetOption option(payoff, maturity, reset);
ext::shared_ptr<PricingEngine> refEngine(
new AnalyticPerformanceEngine(process));
ext::shared_ptr<PricingEngine> mcEngine =
MakeMCPerformanceEngine<PseudoRandom>(process)
.withBrownianBridge()
.withAbsoluteTolerance(5.0e-3)
.withSeed(42);
for (Real u : underlyings) {
for (Real m : qRates) {
for (Real n : rRates) {
for (Real v : vols) {
Rate q = m, r = n;
spot->setValue(u);
qRate->setValue(q);
rRate->setValue(r);
vol->setValue(v);
option.setPricingEngine(refEngine);
Real refValue = option.NPV();
option.setPricingEngine(mcEngine);
Real value = option.NPV();
Real error = std::fabs(refValue - value);
Real tolerance = 1.5e-2;
if (error > tolerance) {
REPORT_FAILURE("value", payoff, maturity, u, q, r, today, v,
refValue, value, error, tolerance);
}
}
}
}
}
}
}
}
}
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
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