// [[Rcpp::export]]
Rcpp::List calibrateHullWhiteUsingCapsEngine(SEXP termStrcDateVec,
SEXP termStrcZeroVec,
SEXP capDataDF,
SEXP iborDateVec,
SEXP iborZeroVec,
std::string iborType,
QuantLib::Date evalDate) {
QuantLib::Settings::instance().evaluationDate() = evalDate;
QuantLib::Handle<QuantLib::YieldTermStructure>
term(rebuildCurveFromZeroRates(termStrcDateVec, termStrcZeroVec));
//set up ibor index
QuantLib::Handle<QuantLib::YieldTermStructure>
indexStrc(rebuildCurveFromZeroRates(iborDateVec, iborZeroVec));
boost::shared_ptr<QuantLib::IborIndex> index = buildIborIndex(iborType, indexStrc);
//process capDataDF
std::vector<boost::shared_ptr <QuantLib::CalibrationHelper> > caps;
Rcpp::DataFrame capDF(capDataDF);
Rcpp::NumericVector i0v = capDF[0];
Rcpp::CharacterVector s1v = capDF[1];
Rcpp::NumericVector d2v = capDF[2];
Rcpp::NumericVector i3v = capDF[3];
Rcpp::NumericVector i4v = capDF[4];
Rcpp::NumericVector i5v = capDF[5];
//std::vector<std::vector<ColDatum> > table = capDF.getTableData();
//int nrow = table.size();
int nrow = i0v.size();
for (int row=0; row<nrow;row++) {
QuantLib::Period p = periodByTimeUnit(i0v[row], Rcpp::as<std::string>(s1v[row]));
boost::shared_ptr<QuantLib::Quote> vol(new QuantLib::SimpleQuote(d2v[row]));
QuantLib::DayCounter dc = getDayCounter(i4v[row]);
boost::shared_ptr<QuantLib::CalibrationHelper>
helper(new QuantLib::CapHelper(p, QuantLib::Handle<QuantLib::Quote>(vol), index,
getFrequency(i3v[row]),
dc,
(i5v[row]==1) ? true : false,
term));
boost::shared_ptr<QuantLib::BlackCapFloorEngine>
engine(new QuantLib::BlackCapFloorEngine(term, d2v[row]));
helper->setPricingEngine(engine);
caps.push_back(helper);
}
//set up the HullWhite model
boost::shared_ptr<QuantLib::HullWhite> model(new QuantLib::HullWhite(term));
//calibrate the data
QuantLib::LevenbergMarquardt optimizationMethod(1.0e-8,1.0e-8,1.0e-8);
QuantLib::EndCriteria endCriteria(10000, 100, 1e-6, 1e-8, 1e-8);
model->calibrate(caps, optimizationMethod, endCriteria);
//EndCriteria::Type ecType = model->endCriteria();
//return the result
QuantLib::Array xMinCalculated = model->params();
return Rcpp::List::create(Rcpp::Named("alpha") = xMinCalculated[0],
Rcpp::Named("sigma") = xMinCalculated[1]);
}
// [[Rcpp::export]]
Rcpp::List calibrateHullWhiteUsingSwapsEngine(SEXP termStrcDateVec,
SEXP termStrcZeroVec,
SEXP swapDataDF,
SEXP iborDateVec,
SEXP iborZeroVec,
std::string iborType,
QuantLib::Date evalDate) {
QuantLib::Settings::instance().evaluationDate() = evalDate;
//set up the HullWhite model
QuantLib::Handle<QuantLib::YieldTermStructure>
term(rebuildCurveFromZeroRates(termStrcDateVec, termStrcZeroVec));
boost::shared_ptr<QuantLib::HullWhite> model(new QuantLib::HullWhite(term));
//set up ibor index
QuantLib::Handle<QuantLib::YieldTermStructure>
indexStrc(rebuildCurveFromZeroRates(iborDateVec, iborZeroVec));
boost::shared_ptr<QuantLib::IborIndex> index = buildIborIndex(iborType, indexStrc);
//process capDataDF
boost::shared_ptr<QuantLib::PricingEngine>
engine(new QuantLib::JamshidianSwaptionEngine(model));
std::vector<boost::shared_ptr <QuantLib::CalibrationHelper> > swaps;
Rcpp::DataFrame swapDF(swapDataDF);
Rcpp::NumericVector i0v = swapDF[0];
Rcpp::CharacterVector s1v = swapDF[1];
Rcpp::NumericVector i2v = swapDF[2];
Rcpp::CharacterVector s3v = swapDF[3];
Rcpp::NumericVector d4v = swapDF[4];
Rcpp::NumericVector i5v = swapDF[5];
Rcpp::CharacterVector s6v = swapDF[6];
Rcpp::NumericVector i7v = swapDF[7];
Rcpp::NumericVector i8v = swapDF[8];
//std::vector<std::vector<ColDatum> > table = swapDF.getTableData();
//int nrow = table.size();
int nrow = i0v.size();
for (int row=0; row<nrow;row++) {
QuantLib::Period maturity = periodByTimeUnit(i0v[row],
Rcpp::as<std::string>(s1v[row]));
QuantLib::Period length = periodByTimeUnit(i0v[row],
Rcpp::as<std::string>(s3v[row]));
boost::shared_ptr<QuantLib::Quote> vol(new QuantLib::SimpleQuote(d4v[row]));
QuantLib::Period fixedLegTenor = periodByTimeUnit(i5v[row],
Rcpp::as<std::string>(s6v[row]));
QuantLib::DayCounter fixedLegDayCounter = getDayCounter(i7v[row]);
QuantLib::DayCounter floatingLegDayCounter = getDayCounter(i8v[row]);
boost::shared_ptr<QuantLib::CalibrationHelper>
helper(new QuantLib::SwaptionHelper(maturity, length,
QuantLib::Handle<QuantLib::Quote>(vol),
index,
fixedLegTenor,
fixedLegDayCounter,
floatingLegDayCounter,
term));
helper->setPricingEngine(engine);
swaps.push_back(helper);
}
//calibrate the data
QuantLib::LevenbergMarquardt optimizationMethod(1.0e-8,1.0e-8,1.0e-8);
QuantLib::EndCriteria endCriteria(10000, 100, 1e-6, 1e-8, 1e-8);
model->calibrate(swaps, optimizationMethod, endCriteria);
//EndCriteria::Type ecType = model->endCriteria();
//return the result
QuantLib::Array xMinCalculated = model->params();
return Rcpp::List::create(Rcpp::Named("alpha") = xMinCalculated[0],
Rcpp::Named("sigma") = xMinCalculated[1]);
}
// [[Rcpp::export]]
Rcpp::List affineWithRebuiltCurveEngine(Rcpp::List rparam,
Rcpp::List legparams,
std::vector<QuantLib::Date> dateVec,
std::vector<double> zeroVec,
Rcpp::NumericVector swaptionMat,
Rcpp::NumericVector swapLengths,
Rcpp::NumericVector swaptionVols) {
// std::vector<std::string> tsnames = tslist.names();
QuantLib::Size i;
//int *swaptionMat=0, *swapLengths=0;
//double **swaptionVols=0;
double notional = 10000; // prices in basis points
QuantLib::Date todaysDate(Rcpp::as<QuantLib::Date>(rparam["tradeDate"]));
QuantLib::Date settlementDate(Rcpp::as<QuantLib::Date>(rparam["settleDate"]));
QuantLib::Date startDate(Rcpp::as<QuantLib::Date>(rparam["startDate"]));
QuantLib::Date maturity(Rcpp::as<QuantLib::Date>(rparam["maturity"]));
bool payfix = Rcpp::as<bool>(rparam["payFixed"]);
bool european = Rcpp::as<bool>(rparam["european"]);
//cout << "TradeDate: " << todaysDate << endl << "Settle: " << settlementDate << endl;
RQLContext::instance().settleDate = settlementDate;
QuantLib::Settings::instance().evaluationDate() = todaysDate;
// initialise from the singleton instance
QuantLib::Calendar calendar = RQLContext::instance().calendar;
//Integer fixingDays = RQLContext::instance().fixingDays;
double strike = Rcpp::as<double>(rparam["strike"]);
std::string method = Rcpp::as<std::string>(rparam["method"]);
QuantLib::Handle<QuantLib::YieldTermStructure>
rhTermStructure(rebuildCurveFromZeroRates(dateVec, zeroVec));
// Get swaption maturities
//Rcpp::NumericVector swaptionMat(maturities);
int numRows = swaptionMat.size();
// Create dummy swap to get schedules.
QuantLib::Frequency fixedLegFrequency = getFrequency(Rcpp::as<double>(legparams["fixFreq"]));
QuantLib::BusinessDayConvention fixedLegConvention = QuantLib::Unadjusted;
QuantLib::BusinessDayConvention floatingLegConvention = QuantLib::ModifiedFollowing;
QuantLib::DayCounter swFixedLegDayCounter = getDayCounter(Rcpp::as<double>(legparams["dayCounter"]));
boost::shared_ptr<QuantLib::IborIndex> swFloatingLegIndex(new QuantLib::Euribor(QuantLib::Period(Rcpp::as<int>(legparams["floatFreq"]),QuantLib::Months),rhTermStructure));
QuantLib::Rate dummyFixedRate = 0.03;
QuantLib::Schedule fixedSchedule(startDate,maturity,
QuantLib::Period(fixedLegFrequency),calendar,
fixedLegConvention,fixedLegConvention,
QuantLib::DateGeneration::Forward,false);
QuantLib::Schedule floatSchedule(startDate,maturity,QuantLib::Period(Rcpp::as<int>(legparams["floatFreq"]),QuantLib::Months),
calendar,
floatingLegConvention,floatingLegConvention,
QuantLib::DateGeneration::Forward,false);
QuantLib::VanillaSwap::Type type;
if(payfix){
type = QuantLib::VanillaSwap::Payer;}
else{
type = QuantLib::VanillaSwap::Receiver;
}
boost::shared_ptr<QuantLib::VanillaSwap>
swap(new QuantLib::VanillaSwap(type, notional,
fixedSchedule, dummyFixedRate, swFixedLegDayCounter,
floatSchedule, swFloatingLegIndex, 0.0,
swFloatingLegIndex->dayCounter()));
swap->setPricingEngine(boost::shared_ptr<QuantLib::PricingEngine>(new QuantLib::DiscountingSwapEngine(rhTermStructure)));
// Find the ATM or break-even rate
QuantLib::Rate fixedATMRate = swap->fairRate();
QuantLib::Rate fixedRate;
if(strike < 0) // factor instead of real strike
fixedRate = fixedATMRate * (-strike);
else
fixedRate = strike;
// The swap underlying the Affine swaption.
boost::shared_ptr<QuantLib::VanillaSwap>
mySwap(new QuantLib::VanillaSwap(type, notional,
fixedSchedule, fixedRate,swFixedLegDayCounter,
floatSchedule, swFloatingLegIndex, 0.0,
swFloatingLegIndex->dayCounter()));
swap->setPricingEngine(boost::shared_ptr<QuantLib::PricingEngine>(new QuantLib::DiscountingSwapEngine(rhTermStructure)));
// Build swaptions that will be used to calibrate model to
// the volatility matrix.
std::vector<QuantLib::Period> swaptionMaturities;
for(i = 0; i < (QuantLib::Size)numRows; i++)
swaptionMaturities.push_back(QuantLib::Period(swaptionMat[i], QuantLib::Years));
// Swaptions used for calibration
std::vector<boost::shared_ptr<QuantLib::BlackCalibrationHelper> > swaptions;
// List of times that have to be included in the timegrid
std::list<QuantLib::Time> times;
for (i=0; i<(QuantLib::Size)numRows; i++) {
//boost::shared_ptr<QuantLib::Quote> vol(new QuantLib::SimpleQuote(swaptionVols[i][numCols-i-1]));
boost::shared_ptr<QuantLib::Quote> vol(new QuantLib::SimpleQuote(swaptionVols(i)));
swaptions.push_back(boost::shared_ptr<QuantLib::BlackCalibrationHelper>(new QuantLib::SwaptionHelper(swaptionMaturities[i],
QuantLib::Period(swapLengths[i], QuantLib::Years),
QuantLib::Handle<QuantLib::Quote>(vol),
swFloatingLegIndex,
swFloatingLegIndex->tenor(),
swFloatingLegIndex->dayCounter(),
swFloatingLegIndex->dayCounter(),
rhTermStructure)));
swaptions.back()->addTimesTo(times);
}
// Building time-grid
QuantLib::TimeGrid grid(times.begin(), times.end(), 30);
// Get Affine swaption exercise dates, single date if europen, coupon dates if bermudan
std::vector<QuantLib::Date> affineDates;
const std::vector<boost::shared_ptr<QuantLib::CashFlow> >& leg = swap->fixedLeg();
if(european){
boost::shared_ptr<QuantLib::Coupon> coupon = boost::dynamic_pointer_cast<QuantLib::Coupon>(leg[0]);
affineDates.push_back(coupon->accrualStartDate());
} else{
for (i=0; i<leg.size(); i++) {
boost::shared_ptr<QuantLib::Coupon> coupon = boost::dynamic_pointer_cast<QuantLib::Coupon>(leg[i]);
affineDates.push_back(coupon->accrualStartDate());
}
}
boost::shared_ptr<QuantLib::Exercise> affineExercise(new QuantLib::BermudanExercise(affineDates));
// Price based on method selected.
if (method.compare("G2Analytic") == 0) {
boost::shared_ptr<QuantLib::G2> modelG2(new QuantLib::G2(rhTermStructure));
Rprintf((char*)"G2/Jamshidian (analytic) calibration\n");
for(i = 0; i < swaptions.size(); i++)
swaptions[i]->setPricingEngine(boost::shared_ptr<QuantLib::PricingEngine>(new QuantLib::G2SwaptionEngine(modelG2, 6.0, 16)));
calibrateModel2(modelG2, swaptions, 0.05, swaptionMat, swapLengths, swaptionVols);
boost::shared_ptr<QuantLib::PricingEngine> engine(new QuantLib::TreeSwaptionEngine(modelG2, 50));
QuantLib::Swaption affineSwaption(mySwap, affineExercise);
affineSwaption.setPricingEngine(engine);
return Rcpp::List::create(Rcpp::Named("a") = modelG2->params()[0],
Rcpp::Named("sigma") = modelG2->params()[1],
Rcpp::Named("b") = modelG2->params()[2],
Rcpp::Named("eta") = modelG2->params()[3],
Rcpp::Named("rho") = modelG2->params()[4],
Rcpp::Named("NPV") = affineSwaption.NPV(),
Rcpp::Named("ATMStrike") = fixedATMRate);
//Rcpp::Named("params") = params);
} else if (method.compare("HWAnalytic") == 0) {
boost::shared_ptr<QuantLib::HullWhite> modelHW(new QuantLib::HullWhite(rhTermStructure));
Rprintf((char*)"Hull-White (analytic) calibration\n");
for (i=0; i<swaptions.size(); i++)
swaptions[i]->setPricingEngine(boost::shared_ptr<QuantLib::PricingEngine>(new QuantLib::JamshidianSwaptionEngine(modelHW)));
calibrateModel2(modelHW, swaptions, 0.05, swaptionMat, swapLengths, swaptionVols);
boost::shared_ptr<QuantLib::PricingEngine> engine(new QuantLib::TreeSwaptionEngine(modelHW, 50));
QuantLib::Swaption affineSwaption(mySwap, affineExercise);
affineSwaption.setPricingEngine(engine);
return Rcpp::List::create(Rcpp::Named("a") = modelHW->params()[0],
Rcpp::Named("sigma") = modelHW->params()[1],
Rcpp::Named("NPV") = affineSwaption.NPV(),
Rcpp::Named("ATMStrike") = fixedATMRate);
//Rcpp::Named("params") = params);
} else if (method.compare("HWTree") == 0) {
boost::shared_ptr<QuantLib::HullWhite> modelHW2(new QuantLib::HullWhite(rhTermStructure));
Rprintf((char*)"Hull-White (tree) calibration\n");
for (i=0; i<swaptions.size(); i++)
swaptions[i]->setPricingEngine(boost::shared_ptr<QuantLib::PricingEngine>(new QuantLib::TreeSwaptionEngine(modelHW2,grid)));
calibrateModel2(modelHW2, swaptions, 0.05, swaptionMat, swapLengths, swaptionVols);
boost::shared_ptr<QuantLib::PricingEngine> engine(new QuantLib::TreeSwaptionEngine(modelHW2, 50));
QuantLib::Swaption affineSwaption(mySwap, affineExercise);
affineSwaption.setPricingEngine(engine);
return Rcpp::List::create(Rcpp::Named("a") = modelHW2->params()[0],
Rcpp::Named("sigma") = modelHW2->params()[1],
Rcpp::Named("NPV") = affineSwaption.NPV(),
Rcpp::Named("ATMStrike") = fixedATMRate);
//Rcpp::Named("params") = params);
} else if (method.compare("BKTree") == 0) {
boost::shared_ptr<QuantLib::BlackKarasinski> modelBK(new QuantLib::BlackKarasinski(rhTermStructure));
Rprintf((char*)"Black-Karasinski (tree) calibration\n");
for (i=0; i<swaptions.size(); i++)
swaptions[i]->setPricingEngine(boost::shared_ptr<QuantLib::PricingEngine>(new QuantLib::TreeSwaptionEngine(modelBK,grid)));
calibrateModel2(modelBK, swaptions, 0.05, swaptionMat, swapLengths, swaptionVols);
boost::shared_ptr<QuantLib::PricingEngine> engine(new QuantLib::TreeSwaptionEngine(modelBK, 50));
QuantLib::Swaption affineSwaption(mySwap, affineExercise);
affineSwaption.setPricingEngine(engine);
return Rcpp::List::create(Rcpp::Named("a") = modelBK->params()[0],
Rcpp::Named("sigma") = modelBK->params()[1],
Rcpp::Named("price") = affineSwaption.NPV(),
Rcpp::Named("ATMStrike") = fixedATMRate);
//Rcpp::Named("params") = params);
} else {
throw std::range_error("Unknown method in AffineSwaption\n");
}
}