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

/*

 Copyright (C) 2006, 2007 Giorgio Facchinetti

 Copyright (C) 2006, 2007 Mario Pucci

 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/cashflows/cashflowvectors.hpp>

#include <ql/cashflows/rangeaccrual.hpp>

#include <ql/indexes/iborindex.hpp>

#include <ql/math/distributions/normaldistribution.hpp>

#include <ql/pricingengines/blackformula.hpp>

#include <ql/termstructures/yieldtermstructure.hpp>

#include <ql/time/schedule.hpp>

#include <cmath>

#include <utility>

namespace QuantLib {

    //===========================================================================//

    //                         RangeAccrualFloatersCoupon                        //

    //===========================================================================//

    RangeAccrualFloatersCoupon::RangeAccrualFloatersCoupon(

        const Date& paymentDate,

        Real nominal,

        const ext::shared_ptr<IborIndex>& index,

        const Date& startDate, // S

        const Date& endDate,   // T

        Natural fixingDays,

        const DayCounter& dayCounter,

        Real gearing,

        Rate spread,

        const Date& refPeriodStart,

        const Date& refPeriodEnd,

        Schedule observationSchedule,

        Real lowerTrigger, // l

        Real upperTrigger  // u

        )

    : FloatingRateCoupon(paymentDate,

                         nominal,

                         startDate,

                         endDate,

                         fixingDays,

                         index,

                         gearing,

                         spread,

                         refPeriodStart,

                         refPeriodEnd,

                         dayCounter),

      observationSchedule_(std::move(observationSchedule)), lowerTrigger_(lowerTrigger),

      upperTrigger_(upperTrigger) {

        QL_REQUIRE(lowerTrigger_<upperTrigger,

                   "lowerTrigger_>=upperTrigger");

        QL_REQUIRE(observationSchedule_.startDate()==startDate,

                   "incompatible start date");

        QL_REQUIRE(observationSchedule_.endDate()==endDate,

                   "incompatible end date");

        observationDates_ = observationSchedule_.dates();

        observationDates_.pop_back();                       //remove end date

        observationDates_.erase(observationDates_.begin()); //remove start date

        observationsNo_ = observationDates_.size();

        const Handle<YieldTermStructure>& rateCurve =

            index->forwardingTermStructure();

        Date referenceDate = rateCurve->referenceDate();

        startTime_ = dayCounter.yearFraction(referenceDate, startDate);

        endTime_ = dayCounter.yearFraction(referenceDate, endDate);

        for(Size i=0;i<observationsNo_;i++) {

            observationTimes_.push_back(

                dayCounter.yearFraction(referenceDate, observationDates_[i]));

        }

    }

Unexecuted instantiation: QuantLib::RangeAccrualFloatersCoupon::RangeAccrualFloatersCoupon(QuantLib::Date const&, double, boost::shared_ptr<QuantLib::IborIndex> const&, QuantLib::Date const&, QuantLib::Date const&, unsigned int, QuantLib::DayCounter const&, double, double, QuantLib::Date const&, QuantLib::Date const&, QuantLib::Schedule, double, double)

Unexecuted instantiation: QuantLib::RangeAccrualFloatersCoupon::RangeAccrualFloatersCoupon(QuantLib::Date const&, double, boost::shared_ptr<QuantLib::IborIndex> const&, QuantLib::Date const&, QuantLib::Date const&, unsigned int, QuantLib::DayCounter const&, double, double, QuantLib::Date const&, QuantLib::Date const&, QuantLib::Schedule, double, double)

    void RangeAccrualFloatersCoupon::accept(AcyclicVisitor& v) {

        auto* v1 = dynamic_cast<Visitor<RangeAccrualFloatersCoupon>*>(&v);

        if (v1 != nullptr)

            v1->visit(*this);

        else

            FloatingRateCoupon::accept(v);

    }

    Real RangeAccrualFloatersCoupon::priceWithoutOptionality(

           const Handle<YieldTermStructure>& discountingCurve) const {

        return accrualPeriod() * (gearing_*indexFixing()+spread_) *

               nominal() * discountingCurve->discount(date());

    }

    //=======================================================================//

    //                        RangeAccrualPricer                             //

    //=======================================================================//

    void RangeAccrualPricer::initialize(const FloatingRateCoupon& coupon){

        coupon_ =  dynamic_cast<const RangeAccrualFloatersCoupon*>(&coupon);

        QL_REQUIRE(coupon_, "range-accrual coupon required");

        gearing_ = coupon_->gearing();

        spread_ = coupon_->spread();

        Date paymentDate = coupon_->date();

        ext::shared_ptr<IborIndex> index =

            ext::dynamic_pointer_cast<IborIndex>(coupon_->index());

        const Handle<YieldTermStructure>& rateCurve =

            index->forwardingTermStructure();

        discount_ = rateCurve->discount(paymentDate);

        accrualFactor_ = coupon_->accrualPeriod();

        spreadLegValue_ = spread_ * accrualFactor_* discount_;

        startTime_ = coupon_->startTime();

        endTime_ = coupon_->endTime();

        observationTimes_ = coupon_->observationTimes();

        lowerTrigger_ = coupon_->lowerTrigger();

        upperTrigger_ = coupon_->upperTrigger();

        observationsNo_ = coupon_->observationsNo();

        const std::vector<Date> &observationDates =

            coupon_->observationSchedule().dates();

        QL_REQUIRE(observationDates.size()==observationsNo_+2,

                   "incompatible size of initialValues vector");

        initialValues_= std::vector<Real>(observationDates.size(),0.);

        Calendar calendar = index->fixingCalendar();

        for(Size i=0; i<observationDates.size(); i++) {

            initialValues_[i]=index->fixing(

                calendar.advance(observationDates[i],

                                 -static_cast<Integer>(coupon_->fixingDays()),

                                 Days));

        }

    }

    Real RangeAccrualPricer::swapletRate() const {

        return swapletPrice()/(accrualFactor_*discount_);

    }

    Real RangeAccrualPricer::capletPrice(Rate) const {

        QL_FAIL("RangeAccrualPricer::capletPrice not implemented");

    }

    Rate RangeAccrualPricer::capletRate(Rate) const {

        QL_FAIL("RangeAccrualPricer::capletRate not implemented");

    }

    Real RangeAccrualPricer::floorletPrice(Rate) const {

        QL_FAIL("RangeAccrualPricer::floorletPrice not implemented");

    }

    Rate RangeAccrualPricer::floorletRate(Rate) const {

        QL_FAIL("RangeAccrualPricer::floorletRate not implemented");

    }

    //===========================================================================//

    //                          RangeAccrualPricerByBgm                          //

    //===========================================================================//

    RangeAccrualPricerByBgm::RangeAccrualPricerByBgm(Real correlation,

                                                     ext::shared_ptr<SmileSection> smilesOnExpiry,

                                                     ext::shared_ptr<SmileSection> smilesOnPayment,

                                                     bool withSmile,

                                                     bool byCallSpread)

    : correlation_(correlation), withSmile_(withSmile), byCallSpread_(byCallSpread),

      smilesOnExpiry_(std::move(smilesOnExpiry)), smilesOnPayment_(std::move(smilesOnPayment)) {}

Unexecuted instantiation: QuantLib::RangeAccrualPricerByBgm::RangeAccrualPricerByBgm(double, boost::shared_ptr<QuantLib::SmileSection>, boost::shared_ptr<QuantLib::SmileSection>, bool, bool)

Unexecuted instantiation: QuantLib::RangeAccrualPricerByBgm::RangeAccrualPricerByBgm(double, boost::shared_ptr<QuantLib::SmileSection>, boost::shared_ptr<QuantLib::SmileSection>, bool, bool)

    Real RangeAccrualPricerByBgm::swapletPrice() const{

        Real result = 0.;

        const Real deflator = discount_*initialValues_[0];

        for(Size i=0;i<observationsNo_;i++){

            Real digitalFloater = digitalRangePrice(lowerTrigger_, upperTrigger_,initialValues_[i+1],

                                                     observationTimes_[i], deflator);

            result += digitalFloater;

        }

        return gearing_ *(result*accrualFactor_/observationsNo_)+ spreadLegValue_;

    }

    std::vector<Real> RangeAccrualPricerByBgm::driftsOverPeriod(Real U,

                                                                Real lambdaS,

                                                                Real lambdaT,

                                                                Real correlation) const{

        std::vector<Real> result;

        const Real p = (U-startTime_)/accrualFactor_;

        const Real q = (endTime_-U)/accrualFactor_;

        const Real L0T = initialValues_.back();

        const Real driftBeforeFixing =

                p*accrualFactor_*L0T/(1.+L0T*accrualFactor_)*(p*lambdaT*lambdaT + q*lambdaS*lambdaT*correlation) +

                q*lambdaS*lambdaS + p*lambdaS*lambdaT*correlation

                -0.5*lambda(U,lambdaS,lambdaT)*lambda(U,lambdaS,lambdaT);

        const Real driftAfterFixing = (p*accrualFactor_*L0T/(1.+L0T*accrualFactor_)-0.5)*lambdaT*lambdaT;

        result.push_back(driftBeforeFixing);

        result.push_back(driftAfterFixing);

        return result;

    }

    std::vector<Real> RangeAccrualPricerByBgm::lambdasOverPeriod(Real U,

                                                                   Real lambdaS,

                                                                   Real lambdaT) const{

        std::vector<Real> result;

        const Real p = (U-startTime_)/accrualFactor_;

        const Real q = (endTime_-U)/accrualFactor_;

        const Real lambdaBeforeFixing = q*lambdaS + p*lambdaT;

        const Real lambdaAfterFixing = lambdaT;

        result.push_back(lambdaBeforeFixing);

        result.push_back(lambdaAfterFixing);

        return result;

    }

    Real RangeAccrualPricerByBgm::drift(Real U,

                                          Real lambdaS,

                                          Real lambdaT,

                                          Real correlation) const{

        Real result;

        const Real p = (U-startTime_)/accrualFactor_;

        const Real q = (endTime_-U)/accrualFactor_;

        const Real L0T = initialValues_.back();

        const Real driftBeforeFixing =

                p*accrualFactor_*L0T/(1.+L0T*accrualFactor_)*(p*lambdaT*lambdaT + q*lambdaS*lambdaT*correlation) +

                q*lambdaS*lambdaS + p*lambdaS*lambdaT*correlation;

        const Real driftAfterFixing = (p*accrualFactor_*L0T/(1.+L0T*accrualFactor_)-0.5)*lambdaT*lambdaT;

        if(startTime_ > 0){result = driftBeforeFixing;}

        else {result = driftAfterFixing;}

        return result;

    }

    Real RangeAccrualPricerByBgm::lambda(Real U,

                                           Real lambdaS,

                                           Real lambdaT) const{

        Real result;

        const Real p = (U-startTime_)/accrualFactor_;

        const Real q = (endTime_-U)/accrualFactor_;

        if(startTime_ > 0){result = q*lambdaS + p*lambdaT;}

        else {result = lambdaT;}

        return result;

    }

    Real RangeAccrualPricerByBgm::derDriftDerLambdaS(Real U,

                                                        Real lambdaS,

                                                        Real lambdaT,

                                                        Real correlation) const{

        Real result;

        const Real p = (U-startTime_)/accrualFactor_;

        const Real q = (endTime_-U)/accrualFactor_;

        const Real L0T = initialValues_.back();

        const Real driftBeforeFixing =

                p*accrualFactor_*L0T/(1.+L0T*accrualFactor_)*(q*lambdaT*correlation) +

                2*q*lambdaS + p*lambdaT*correlation;

        const Real driftAfterFixing = 0.;

        if(startTime_ > 0){result = driftBeforeFixing;}

        else {result = driftAfterFixing;}

        return result;

    }

    Real RangeAccrualPricerByBgm::derLambdaDerLambdaS(Real U) const {

        if (startTime_>0) {

            Real q = (endTime_-U)/accrualFactor_;

            return q;

        } else

            return 0.0;

    }

    Real RangeAccrualPricerByBgm::derDriftDerLambdaT(Real U,

                                                        Real lambdaS,

                                                        Real lambdaT,

                                                        Real correlation) const{

        Real result;

        const Real p = (U-startTime_)/accrualFactor_;

        const Real q = (endTime_-U)/accrualFactor_;

        const Real L0T = initialValues_.back();

        const Real driftBeforeFixing =

                p*accrualFactor_*L0T/(1.+L0T*accrualFactor_)*(2*p*lambdaT + q*lambdaS*correlation) +

                + p*lambdaS*correlation;

        const Real driftAfterFixing = (p*accrualFactor_*L0T/(1.+L0T*accrualFactor_)-0.5)*2*lambdaT;

        if(startTime_ > 0){result = driftBeforeFixing;}

        else {result = driftAfterFixing;}

        return result;

    }

    Real RangeAccrualPricerByBgm::derLambdaDerLambdaT(Real U) const {

        if (startTime_>0) {

            Real p = (U-startTime_)/accrualFactor_;

            return p;

        } else

            return 0.0;

    }

    Real RangeAccrualPricerByBgm::digitalRangePrice(Real lowerTrigger,

                                                      Real upperTrigger,

                                                      Real initialValue,

                                                      Real expiry,

                                                      Real deflator) const{

            const Real lowerPrice = digitalPrice(lowerTrigger, initialValue, expiry, deflator);

            const Real upperPrice = digitalPrice(upperTrigger, initialValue, expiry, deflator);

            const Real result =  lowerPrice - upperPrice;

            QL_REQUIRE(result >=0.,

                "RangeAccrualPricerByBgm::digitalRangePrice:\n digitalPrice("<<upperTrigger<<

                "): "<<upperPrice<<" >  digitalPrice("<<lowerTrigger<<"): "<<lowerPrice);

            return result;

    }

    Real RangeAccrualPricerByBgm::digitalPrice(Real strike,

                                        Real initialValue,

                                        Real expiry,

                                        Real deflator) const {

        Real result = deflator;

        if(strike>eps_/2){

            if(withSmile_)

                result = digitalPriceWithSmile(strike, initialValue, expiry, deflator);

            else

                result = digitalPriceWithoutSmile(strike, initialValue, expiry, deflator);

        }

        return result;

    }

    Real RangeAccrualPricerByBgm::digitalPriceWithoutSmile(Real strike,

                                        Real initialValue,

                                        Real expiry,

                                        Real deflator) const {

        Real lambdaS = smilesOnExpiry_->volatility(strike);

        Real lambdaT = smilesOnPayment_->volatility(strike);

        std::vector<Real> lambdaU = lambdasOverPeriod(expiry, lambdaS, lambdaT);

        const Real variance =

            startTime_*lambdaU[0]*lambdaU[0]+(expiry-startTime_)*lambdaU[1]*lambdaU[1];

        Real lambdaSATM = smilesOnExpiry_->volatility(initialValue);

        Real lambdaTATM = smilesOnPayment_->volatility(initialValue);

        //drift of Lognormal process (of Libor) "a_U()" nel paper

        std::vector<Real> muU = driftsOverPeriod(expiry, lambdaSATM, lambdaTATM, correlation_);

        const Real adjustment = (startTime_*muU[0]+(expiry-startTime_)*muU[1]);

       Real d2 = (std::log(initialValue/strike) + adjustment - 0.5*variance)/std::sqrt(variance);

       CumulativeNormalDistribution phi;

       const Real result = deflator*phi(d2);

       QL_REQUIRE(result > 0.,

           "RangeAccrualPricerByBgm::digitalPriceWithoutSmile: result< 0. Result:"<<result);

       QL_REQUIRE(result/deflator <= 1.,

            "RangeAccrualPricerByBgm::digitalPriceWithoutSmile: result/deflator > 1. Ratio: "

            << result/deflator << " result: " << result<< " deflator: " << deflator);

       return result;

    }

    Real RangeAccrualPricerByBgm::digitalPriceWithSmile(Real strike,

                                        Real initialValue,

                                        Real expiry,

                                        Real deflator) const {

        Real result;

        if (byCallSpread_) {

            // Previous strike

            const Real previousStrike = strike - eps_/2;

            Real lambdaS = smilesOnExpiry_->volatility(previousStrike);

            Real lambdaT = smilesOnPayment_->volatility(previousStrike);

            //drift of Lognormal process (of Libor) "a_U()" nel paper

            std::vector<Real> lambdaU = lambdasOverPeriod(expiry, lambdaS, lambdaT);

            const Real previousVariance = std::max(startTime_, 0.)*lambdaU[0]*lambdaU[0]+

                         std::min(expiry-startTime_, expiry)*lambdaU[1]*lambdaU[1];

            Real lambdaSATM = smilesOnExpiry_->volatility(initialValue);

            Real lambdaTATM = smilesOnPayment_->volatility(initialValue);

            std::vector<Real> muU = driftsOverPeriod(expiry, lambdaSATM, lambdaTATM, correlation_);

            const Real previousAdjustment = std::exp(std::max(startTime_, 0.)*muU[0] +

                                         std::min(expiry-startTime_, expiry)*muU[1]);

            const Real previousForward = initialValue * previousAdjustment ;

            // Next strike

            const Real nextStrike = strike + eps_/2;

            lambdaS = smilesOnExpiry_->volatility(nextStrike);

            lambdaT = smilesOnPayment_->volatility(nextStrike);

            lambdaU = lambdasOverPeriod(expiry, lambdaS, lambdaT);

            const Real nextVariance = std::max(startTime_, 0.)*lambdaU[0]*lambdaU[0]+

                         std::min(expiry-startTime_, expiry)*lambdaU[1]*lambdaU[1];

            //drift of Lognormal process (of Libor) "a_U()" nel paper

            muU = driftsOverPeriod(expiry, lambdaSATM, lambdaTATM, correlation_);

            const Real nextAdjustment = std::exp(std::max(startTime_, 0.)*muU[0] +

                                         std::min(expiry-startTime_, expiry)*muU[1]);

            const Real nextForward = initialValue * nextAdjustment ;

            result = callSpreadPrice(previousForward,nextForward,previousStrike, nextStrike,

                                                    deflator, previousVariance, nextVariance);

        }

        else{

            result = digitalPriceWithoutSmile(strike, initialValue, expiry, deflator)+

                     smileCorrection(strike, initialValue, expiry, deflator);

        }

        QL_REQUIRE(result > -std::pow(eps_,.5),

            "RangeAccrualPricerByBgm::digitalPriceWithSmile: result< 0 Result:"<<result);

        QL_REQUIRE(result/deflator <=  1.0 + std::pow(eps_,.2),

            "RangeAccrualPricerByBgm::digitalPriceWithSmile: result/deflator > 1. Ratio: "

            << result/deflator << " result: " << result<< " deflator: " << deflator);

        return result;

    }

    Real RangeAccrualPricerByBgm::smileCorrection(Real strike,

                                        Real forward,

                                        Real expiry,

                                        Real deflator) const {

        const Real previousStrike = strike - eps_/2;

        const Real nextStrike = strike + eps_/2;

        const Real derSmileS = (smilesOnExpiry_->volatility(nextStrike)-

                                 smilesOnExpiry_->volatility(previousStrike))/eps_;

        const Real derSmileT = (smilesOnPayment_->volatility(nextStrike)-

                                 smilesOnPayment_->volatility(previousStrike))/eps_;

        Real lambdaS = smilesOnExpiry_->volatility(strike);

        Real lambdaT = smilesOnPayment_->volatility(strike);

        //Real lambdaU = lambda(expiry, lambdaS, lambdaT);

        Real derLambdaDerK = derLambdaDerLambdaS(expiry) * derSmileS +

                             derLambdaDerLambdaT(expiry) * derSmileT;

        //Real derDriftDerK = derDriftDerLambdaS(expiry, lambdaS, lambdaT, correlation_)*derSmileS +

        //                      derDriftDerLambdaT(expiry, lambdaS, lambdaT, correlation_)*derSmileT +

        //                      lambdaU * derLambdaDerK;

        Real lambdaSATM = smilesOnExpiry_->volatility(forward);

        Real lambdaTATM = smilesOnPayment_->volatility(forward);

        std::vector<Real> lambdasOverPeriodU = lambdasOverPeriod(expiry, lambdaS, lambdaT);

        //drift of Lognormal process (of Libor) "a_U()" nel paper

        std::vector<Real> muU = driftsOverPeriod(expiry, lambdaSATM, lambdaTATM, correlation_);

        const Real variance = std::max(startTime_, 0.)*lambdasOverPeriodU[0]*lambdasOverPeriodU[0] +

                       std::min(expiry-startTime_, expiry)*lambdasOverPeriodU[1]*lambdasOverPeriodU[1];

        const Real forwardAdjustment = std::exp(std::max(startTime_, 0.)*muU[0] +

                                         std::min(expiry-startTime_, expiry)*muU[1]);

        const Real forwardAdjusted = forward * forwardAdjustment;

        const Real d1 = (std::log(forwardAdjusted/strike)+0.5*variance)/std::sqrt(variance);

        const Real sqrtOfTimeToExpiry = (std::max(startTime_, 0.)*lambdasOverPeriodU[0] +

                                std::min(expiry-startTime_, expiry)*lambdasOverPeriodU[1])*

                                (1./std::sqrt(variance));

        CumulativeNormalDistribution phi;

        NormalDistribution psi;

        Real result = - forwardAdjusted*psi(d1)*sqrtOfTimeToExpiry*derLambdaDerK ;

                       // - forwardAdjusted*phi(d1)*expiry*derDriftDerK;

        result *= deflator;

        QL_REQUIRE(std::fabs(result/deflator) <= 1.0 + std::pow(eps_,.2),

            "RangeAccrualPricerByBgm::smileCorrection: abs(result/deflator) > 1. Ratio: "

            << result/deflator << " result: " << result<< " deflator: " << deflator);

        return result;

    }

    Real RangeAccrualPricerByBgm::callSpreadPrice(

                                            Real previousForward,

                                            Real nextForward,

                                            Real previousStrike,

                                            Real nextStrike,

                                            Real deflator,

                                            Real previousVariance,

                                            Real nextVariance) const{

         const Real nextCall =

            blackFormula(Option::Call, nextStrike, nextForward, std::sqrt(nextVariance), deflator);

         const Real previousCall =

            blackFormula(Option::Call, previousStrike, previousForward, std::sqrt(previousVariance), deflator);

         QL_ENSURE(nextCall <previousCall,"RangeAccrualPricerByBgm::callSpreadPrice: nextCall > previousCall"

            "\n nextCall: strike :" << nextStrike << "; variance: " << nextVariance <<

            " adjusted initial value " << nextForward <<

            "\n previousCall: strike :" << previousStrike << "; variance: " << previousVariance <<

            " adjusted initial value " << previousForward );

         const Real result = (previousCall-nextCall)/(nextStrike-previousStrike);

         return result;

    }

    RangeAccrualLeg::RangeAccrualLeg(Schedule schedule, ext::shared_ptr<IborIndex> index)

    : schedule_(std::move(schedule)), index_(std::move(index)) {}

    RangeAccrualLeg& RangeAccrualLeg::withNotionals(Real notional) {

        notionals_ = std::vector<Real>(1,notional);

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withNotionals(

                                         const std::vector<Real>& notionals) {

        notionals_ = notionals;

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withPaymentDayCounter(

                                               const DayCounter& dayCounter) {

        paymentDayCounter_ = dayCounter;

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withPaymentAdjustment(

                                           BusinessDayConvention convention) {

        paymentAdjustment_ = convention;

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withFixingDays(Natural fixingDays) {

        fixingDays_ = std::vector<Natural>(1,fixingDays);

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withFixingDays(

                                     const std::vector<Natural>& fixingDays) {

        fixingDays_ = fixingDays;

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withGearings(Real gearing) {

        gearings_ = std::vector<Real>(1,gearing);

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withGearings(

                                          const std::vector<Real>& gearings) {

        gearings_ = gearings;

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withSpreads(Spread spread) {

        spreads_ = std::vector<Spread>(1,spread);

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withSpreads(

                                         const std::vector<Spread>& spreads) {

        spreads_ = spreads;

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withLowerTriggers(Rate trigger) {

        lowerTriggers_ = std::vector<Rate>(1,trigger);

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withLowerTriggers(

                                          const std::vector<Rate>& triggers) {

        lowerTriggers_ = triggers;

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withUpperTriggers(Rate trigger) {

        upperTriggers_ = std::vector<Rate>(1,trigger);

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withUpperTriggers(

                                          const std::vector<Rate>& triggers) {

        upperTriggers_ = triggers;

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withObservationTenor(

                                                        const Period& tenor) {

        observationTenor_ = tenor;

        return *this;

    }

    RangeAccrualLeg& RangeAccrualLeg::withObservationConvention(

                                           BusinessDayConvention convention) {

        observationConvention_ = convention;

        return *this;

    }

    RangeAccrualLeg::operator Leg() const {

        QL_REQUIRE(!notionals_.empty(), "no notional given");

        Size n = schedule_.size()-1;

        QL_REQUIRE(notionals_.size() <= n,

                   "too many nominals (" << notionals_.size() <<

                   "), only " << n << " required");

        QL_REQUIRE(fixingDays_.size() <= n,

                   "too many fixingDays (" << fixingDays_.size() <<

                   "), only " << n << " required");

        QL_REQUIRE(gearings_.size()<=n,

                   "too many gearings (" << gearings_.size() <<

                   "), only " << n << " required");

        QL_REQUIRE(spreads_.size()<=n,

                   "too many spreads (" << spreads_.size() <<

                   "), only " << n << " required");

        QL_REQUIRE(lowerTriggers_.size()<=n,

                   "too many lowerTriggers (" << lowerTriggers_.size() <<

                   "), only " << n << " required");

        QL_REQUIRE(upperTriggers_.size()<=n,

                   "too many upperTriggers (" << upperTriggers_.size() <<

                   "), only " << n << " required");

        Leg leg(n);

        // the following is not always correct

        Calendar calendar = schedule_.calendar();

        Date refStart, start, refEnd, end;

        Date paymentDate;

        for (Size i=0; i<n; ++i) {

            refStart = start = schedule_.date(i);

            refEnd   =   end = schedule_.date(i+1);

            paymentDate = calendar.adjust(end, paymentAdjustment_);

            if (i==0 && schedule_.hasIsRegular() && !schedule_.isRegular(i+1)) {

                BusinessDayConvention bdc = schedule_.businessDayConvention();

                refStart = calendar.adjust(end - schedule_.tenor(), bdc);

            }

            if (i==n-1 && schedule_.hasIsRegular() && !schedule_.isRegular(i+1)) {

                BusinessDayConvention bdc = schedule_.businessDayConvention();

                refEnd = calendar.adjust(start + schedule_.tenor(), bdc);

            }

            if (detail::get(gearings_, i, 1.0) == 0.0) { // fixed coupon

                leg.push_back(ext::shared_ptr<CashFlow>(new

                    FixedRateCoupon(paymentDate,

                                    detail::get(notionals_, i, Null<Real>()),

                                    detail::get(spreads_, i, 0.0),

                                    paymentDayCounter_,

                                    start, end, refStart, refEnd)));

            } else { // floating coupon

                auto observationSchedule =

                    Schedule(start, end,

                             observationTenor_, calendar,

                             observationConvention_,

                             observationConvention_,

                             DateGeneration::Forward, false);

                    leg.push_back(ext::shared_ptr<CashFlow>(new

                       RangeAccrualFloatersCoupon(

                            paymentDate,

                            detail::get(notionals_, i, Null<Real>()),

                            index_,

                            start, end,

                            detail::get(fixingDays_, i, 2),

                            paymentDayCounter_,

                            detail::get(gearings_, i, 1.0),

                            detail::get(spreads_, i, 0.0),

                            refStart, refEnd,

                            observationSchedule,

                            detail::get(lowerTriggers_, i, Null<Rate>()),

                            detail::get(upperTriggers_, i, Null<Rate>()))));

            }

        }

        return leg;

    }

}