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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404
|
/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
/*
Copyright (C) 2005 Klaus Spanderen
Copyright (C) 2007 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
<http://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 "batesmodel.hpp"
#include "utilities.hpp"
#include <ql/time/calendars/target.hpp>
#include <ql/processes/merton76process.hpp>
#include <ql/instruments/europeanoption.hpp>
#include <ql/time/daycounters/actualactual.hpp>
#include <ql/termstructures/yield/flatforward.hpp>
#include <ql/termstructures/yield/zerocurve.hpp>
#include <ql/pricingengines/blackformula.hpp>
#include <ql/math/optimization/levenbergmarquardt.hpp>
#include <ql/pricingengines/vanilla/batesengine.hpp>
#include <ql/pricingengines/vanilla/jumpdiffusionengine.hpp>
#include <ql/pricingengines/vanilla/analyticeuropeanengine.hpp>
#include <ql/models/equity/batesmodel.hpp>
#include <ql/models/equity/hestonmodelhelper.hpp>
#include <ql/time/period.hpp>
using namespace QuantLib;
using namespace boost::unit_test_framework;
QL_BEGIN_TEST_LOCALS(BatesModelTest)
Real getCalibrationError(
std::vector<boost::shared_ptr<CalibrationHelper> > & options) {
Real sse = 0;
for (Size i = 0; i < options.size(); ++i) {
const Real diff = options[i]->calibrationError()*100.0;
sse += diff*diff;
}
return sse;
}
QL_END_TEST_LOCALS(BatesModelTest)
void BatesModelTest::testAnalyticVsBlack() {
BOOST_MESSAGE("Testing analytic Bates engine against Black formula...");
SavedSettings backup;
Date settlementDate = Date::todaysDate();
Settings::instance().evaluationDate() = settlementDate;
DayCounter dayCounter = ActualActual();
Date exerciseDate = settlementDate + 6*Months;
boost::shared_ptr<StrikedTypePayoff> payoff(
new PlainVanillaPayoff(Option::Put, 30));
boost::shared_ptr<Exercise> exercise(new EuropeanExercise(exerciseDate));
Handle<YieldTermStructure> riskFreeTS(flatRate(0.1, dayCounter));
Handle<YieldTermStructure> dividendTS(flatRate(0.04, dayCounter));
Handle<Quote> s0(boost::shared_ptr<Quote>(new SimpleQuote(32.0)));
Real yearFraction = dayCounter.yearFraction(settlementDate, exerciseDate);
Real forwardPrice = s0->value()*std::exp((0.1-0.04)*yearFraction);
Real expected = blackFormula(payoff->optionType(), payoff->strike(),
forwardPrice, std::sqrt(0.05*yearFraction)) *
std::exp(-0.1*yearFraction);
const Real v0 = 0.05;
const Real kappa = 5.0;
const Real theta = 0.05;
const Real sigma = 1.0e-4;
const Real rho = 0.0;
VanillaOption option(payoff, exercise);
boost::shared_ptr<HestonProcess> process(new HestonProcess(
riskFreeTS, dividendTS, s0, v0, kappa, theta, sigma, rho));
boost::shared_ptr<PricingEngine> engine(new BatesEngine(
boost::shared_ptr<BatesModel>(
new BatesModel(process, 0.0001, 0, 0.0001)), 64));
option.setPricingEngine(engine);
Real calculated = option.NPV();
Real tolerance = 2.0e-7;
Real error = std::fabs(calculated - expected);
if (error > tolerance) {
BOOST_ERROR("failed to reproduce Black price with BatesEngine"
<< QL_FIXED
<< "\n calculated: " << calculated
<< "\n expected: " << expected
<< QL_SCIENTIFIC
<< "\n error: " << error);
}
engine = boost::shared_ptr<PricingEngine>(new BatesDetJumpEngine(
boost::shared_ptr<BatesDetJumpModel>(
new BatesDetJumpModel(
process, 0.0001, 0.0, 0.0001, 1.0, 0.0001)), 64));
option.setPricingEngine(engine);
calculated = option.NPV();
error = std::fabs(calculated - expected);
if (error > tolerance) {
BOOST_ERROR("failed to reproduce Black price with " \
"BatesDetJumpEngine"
<< QL_FIXED
<< "\n calculated: " << calculated
<< "\n expected: " << expected
<< QL_SCIENTIFIC
<< "\n error: " << error);
}
engine = boost::shared_ptr<PricingEngine>(new BatesDoubleExpEngine(
boost::shared_ptr<BatesDoubleExpModel>(
new BatesDoubleExpModel(process, 0.0001, 0.0001, 0.0001)), 64));
option.setPricingEngine(engine);
calculated = option.NPV();
error = std::fabs(calculated - expected);
if (error > tolerance) {
BOOST_ERROR("failed to reproduce Black price with BatesDoubleExpEngine"
<< QL_FIXED
<< "\n calculated: " << calculated
<< "\n expected: " << expected
<< QL_SCIENTIFIC
<< "\n error: " << error);
}
engine = boost::shared_ptr<PricingEngine>(new BatesDoubleExpDetJumpEngine(
boost::shared_ptr<BatesDoubleExpDetJumpModel>(
new BatesDoubleExpDetJumpModel(
process, 0.0001, 0.0001, 0.0001, 0.5, 1.0, 0.0001)), 64));
option.setPricingEngine(engine);
calculated = option.NPV();
error = std::fabs(calculated - expected);
if (error > tolerance) {
BOOST_ERROR("failed to reproduce Black price with " \
"BatesDoubleExpDetJumpEngine"
<< QL_FIXED
<< "\n calculated: " << calculated
<< "\n expected: " << expected
<< QL_SCIENTIFIC
<< "\n error: " << error);
}
}
void BatesModelTest::testAnalyticVsJumpDiffusion() {
BOOST_MESSAGE("Testing analytic Bates engine against Merton-76 engine...");
SavedSettings backup;
Date settlementDate = Date::todaysDate();
Settings::instance().evaluationDate() = settlementDate;
DayCounter dayCounter = ActualActual();
boost::shared_ptr<StrikedTypePayoff> payoff(
new PlainVanillaPayoff(Option::Put, 95));
Handle<YieldTermStructure> riskFreeTS(flatRate(0.1, dayCounter));
Handle<YieldTermStructure> dividendTS(flatRate(0.04, dayCounter));
Handle<Quote> s0(boost::shared_ptr<Quote>(new SimpleQuote(100)));
Real v0 = 0.0433;
// FLOATING_POINT_EXCEPTION
boost::shared_ptr<SimpleQuote> vol(new SimpleQuote(std::sqrt(v0)));
boost::shared_ptr<BlackVolTermStructure> volTS =
flatVol(settlementDate, vol, dayCounter);
const Real kappa = 0.5;
const Real theta = v0;
const Real sigma = 1.0e-4;
const Real rho = 0.0;
boost::shared_ptr<HestonProcess> process(new HestonProcess(
riskFreeTS, dividendTS, s0, v0, kappa, theta, sigma, rho));
boost::shared_ptr<SimpleQuote> jumpIntensity(new SimpleQuote(2));
boost::shared_ptr<SimpleQuote> meanLogJump(new SimpleQuote(-0.2));
boost::shared_ptr<SimpleQuote> jumpVol(new SimpleQuote(0.2));
boost::shared_ptr<PricingEngine> batesEngine(new BatesEngine(
boost::shared_ptr<BatesModel>(
new BatesModel(process,
jumpIntensity->value(),
meanLogJump->value(),
jumpVol->value())), 160));
boost::shared_ptr<Merton76Process> stochProcess(
new Merton76Process(s0,
dividendTS,
riskFreeTS,
Handle<BlackVolTermStructure>(volTS),
Handle<Quote>(jumpIntensity),
Handle<Quote>(meanLogJump),
Handle<Quote>(jumpVol)));
boost::shared_ptr<PricingEngine> mertonEngine(
new JumpDiffusionEngine(stochProcess, 1e-10, 1000));
for (Integer i=1; i<48; ++i) {
Date exerciseDate = settlementDate + i*Months;
boost::shared_ptr<Exercise> exercise(
new EuropeanExercise(exerciseDate));
VanillaOption batesOption(payoff, exercise);
batesOption.setPricingEngine(batesEngine);
// FLOATING_POINT_EXCEPTION
Real calculated = batesOption.NPV();
EuropeanOption mertonOption(payoff, exercise);
mertonOption.setPricingEngine(mertonEngine);
Real expected = mertonOption.NPV();
Real tolerance = 2e-8;
Real relError = std::fabs(calculated - expected)/expected;
if (relError > tolerance) {
BOOST_FAIL("failed to reproduce Merton76 price with BatesEngine"
<< QL_FIXED << std::setprecision(8)
<< "\n calculated: " << calculated
<< "\n expected: " << expected
<< "\n rel. error: " << relError
<< "\n tolerance: " << tolerance);
}
}
}
void BatesModelTest::testDAXCalibration() {
/* this example is taken from A. Sepp
Pricing European-Style Options under Jump Diffusion Processes
with Stochstic Volatility: Applications of Fourier Transform
http://math.ut.ee/~spartak/papers/stochjumpvols.pdf
*/
BOOST_MESSAGE(
"Testing Bates model calibration using DAX volatility data...");
SavedSettings backup;
Date settlementDate(5, July, 2002);
Settings::instance().evaluationDate() = settlementDate;
DayCounter dayCounter = Actual365Fixed();
Calendar calendar = TARGET();
Integer t[] = { 13, 41, 75, 165, 256, 345, 524, 703 };
Rate r[] = { 0.0357,0.0349,0.0341,0.0355,0.0359,0.0368,0.0386,0.0401 };
std::vector<Date> dates;
std::vector<Rate> rates;
dates.push_back(settlementDate);
rates.push_back(0.0357);
for (Size i = 0; i < 8; ++i) {
dates.push_back(settlementDate + t[i]);
rates.push_back(r[i]);
}
// FLOATING_POINT_EXCEPTION
Handle<YieldTermStructure> riskFreeTS(
boost::shared_ptr<YieldTermStructure>(
new ZeroCurve(dates, rates, dayCounter)));
Handle<YieldTermStructure> dividendTS(
flatRate(settlementDate, 0.0, dayCounter));
Volatility v[] =
{ 0.6625,0.4875,0.4204,0.3667,0.3431,0.3267,0.3121,0.3121,
0.6007,0.4543,0.3967,0.3511,0.3279,0.3154,0.2984,0.2921,
0.5084,0.4221,0.3718,0.3327,0.3155,0.3027,0.2919,0.2889,
0.4541,0.3869,0.3492,0.3149,0.2963,0.2926,0.2819,0.2800,
0.4060,0.3607,0.3330,0.2999,0.2887,0.2811,0.2751,0.2775,
0.3726,0.3396,0.3108,0.2781,0.2788,0.2722,0.2661,0.2686,
0.3550,0.3277,0.3012,0.2781,0.2781,0.2661,0.2661,0.2681,
0.3428,0.3209,0.2958,0.2740,0.2688,0.2627,0.2580,0.2620,
0.3302,0.3062,0.2799,0.2631,0.2573,0.2533,0.2504,0.2544,
0.3343,0.2959,0.2705,0.2540,0.2504,0.2464,0.2448,0.2462,
0.3460,0.2845,0.2624,0.2463,0.2425,0.2385,0.2373,0.2422,
0.3857,0.2860,0.2578,0.2399,0.2357,0.2327,0.2312,0.2351,
0.3976,0.2860,0.2607,0.2356,0.2297,0.2268,0.2241,0.2320 };
Handle<Quote> s0(boost::shared_ptr<Quote>(new SimpleQuote(4468.17)));
Real strike[] = { 3400,3600,3800,4000,4200,4400,
4500,4600,4800,5000,5200,5400,5600 };
Real v0 = 0.0433;
boost::shared_ptr<SimpleQuote> vol(new SimpleQuote(std::sqrt(v0)));
boost::shared_ptr<BlackVolTermStructure> volTS =
flatVol(settlementDate, vol, dayCounter);
const Real kappa = 1.0;
const Real theta = v0;
const Real sigma = 1.0;
const Real rho = 0.0;
boost::shared_ptr<HestonProcess> process(new HestonProcess(
riskFreeTS, dividendTS, s0, v0, kappa, theta, sigma, rho));
boost::shared_ptr<BatesModel> batesModel(
new BatesModel(process,1.1098, -0.1285, 0.1702));
boost::shared_ptr<PricingEngine> batesEngine(
new BatesEngine(batesModel));
std::vector<boost::shared_ptr<CalibrationHelper> > options;
for (Size s = 0; s < 13; ++s) {
for (Size m = 0; m < 8; ++m) {
Handle<Quote> vol(boost::shared_ptr<Quote>(
new SimpleQuote(v[s*8+m])));
Period maturity((int)((t[m]+3)/7.), Weeks); // round to weeks
// this is the calibration helper for the bates models
// FLOATING_POINT_EXCEPTION
options.push_back(boost::shared_ptr<CalibrationHelper>(
new HestonModelHelper(maturity, calendar,
s0->value(), strike[s], vol,
riskFreeTS, dividendTS, true)));
options.back()->setPricingEngine(batesEngine);
}
}
// check calibration engine
LevenbergMarquardt om;
batesModel->calibrate(options, om, EndCriteria(400, 40, 1.0e-8, 1.0e-8, 1.0e-8));
Real expected = 36.6;
Real calculated = getCalibrationError(options);
if (std::fabs(calculated - expected) > 2.5)
BOOST_ERROR("failed to calibrate the bates model"
<< "\n calculated: " << calculated
<< "\n expected: " << expected);
//check pricing of derived engines
// reset process
process = boost::shared_ptr<HestonProcess>(new HestonProcess(
riskFreeTS, dividendTS, s0, v0, kappa, theta, sigma, rho));
std::vector<boost::shared_ptr<PricingEngine> > pricingEngines;
pricingEngines.push_back(boost::shared_ptr<PricingEngine>(
new BatesDetJumpEngine(
boost::shared_ptr<BatesDetJumpModel>(
new BatesDetJumpModel(process, 1, -0.1)))) );
pricingEngines.push_back(boost::shared_ptr<PricingEngine>(
new BatesDoubleExpEngine(
boost::shared_ptr<BatesDoubleExpModel>(
new BatesDoubleExpModel(process, 1.0)))) );
pricingEngines.push_back(boost::shared_ptr<PricingEngine>(
new BatesDoubleExpDetJumpEngine(
boost::shared_ptr<BatesDoubleExpDetJumpModel>(
new BatesDoubleExpDetJumpModel(process, 1.0)))) );
Real expectedValues[] = { 5896.37,
5499.29,
6497.89};
Real tolerance=0.1;
for (Size i = 0; i < pricingEngines.size(); ++i) {
for (Size j = 0; j < options.size(); ++j) {
options[j]->setPricingEngine(pricingEngines[i]);
}
Real calculated = std::fabs(getCalibrationError(options));
if (std::fabs(calculated - expectedValues[i]) > tolerance)
BOOST_ERROR("failed to calculated prices for derived Bates models"
<< "\n calculated: " << calculated
<< "\n expected: " << expectedValues[i]);
}
}
test_suite* BatesModelTest::suite() {
test_suite* suite = BOOST_TEST_SUITE("Bates model tests");
suite->add(BOOST_TEST_CASE(&BatesModelTest::testAnalyticVsBlack));
// FLOATING_POINT_EXCEPTION
suite->add(BOOST_TEST_CASE(&BatesModelTest::testAnalyticVsJumpDiffusion));
// FLOATING_POINT_EXCEPTION
suite->add(BOOST_TEST_CASE(&BatesModelTest::testDAXCalibration));
return suite;
}
|