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

/*
 Copyright (C) 2005 Joseph Wang
 Copyright (C) 2007, 2009 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.
*/

/*! \file fddividendengine.hpp
    \brief base engine for option with dividends
*/

#ifndef quantlib_fd_dividend_engine_hpp
#define quantlib_fd_dividend_engine_hpp

#include <ql/pricingengines/vanilla/fdmultiperiodengine.hpp>
#include <ql/instruments/dividendvanillaoption.hpp>

namespace QuantLib {

    //! Abstract base class for dividend engines
    /*! \todo The dividend class really needs to be made more
              sophisticated to distinguish between fixed dividends and
              fractional dividends
    */
    template <template <class> class Scheme = CrankNicolson>
    class FDDividendEngineBase : public FDMultiPeriodEngine<Scheme> {
      public:
        FDDividendEngineBase(
             const boost::shared_ptr<GeneralizedBlackScholesProcess>& process,
             Size timeSteps = 100,
             Size gridPoints = 100,
             bool timeDependent = false)
        : FDMultiPeriodEngine<Scheme>(process, timeSteps,
                                      gridPoints, timeDependent) {}
      protected:
        virtual void setupArguments(const PricingEngine::arguments*) const;
        void setGridLimits() const = 0;
        void executeIntermediateStep(Size step) const = 0;
        Real getDividendAmount(Size i) const {
            const Dividend *dividend =
                dynamic_cast<const Dividend *>(this->events_[i].get());
            if (dividend) {
                return dividend->amount();
            } else {
                return 0.0;
            }
        }
        Real getDiscountedDividend(Size i) const {
            Real dividend = getDividendAmount(i);
            Real discount =
                this->process_->riskFreeRate()->discount(
                                                   this->events_[i]->date()) /
                this->process_->dividendYield()->discount(
                                                    this->events_[i]->date());
            return dividend * discount;
        }
    };

    /*! \brief Finite-differences pricing engine for dividend options
               using escowed dividends model

        The Merton-73 engine is the classic engine described in most
        derivatives texts.  However, Haug, Haug, and Lewis in "Back to
        Basics: a new approach to the discrete dividend problem"
        argues that this scheme underprices call options.  This is set
        as the default engine, because it is consistent with the
        analytic version.

        \ingroup vanillaengines
    */
    template <template <class> class Scheme = CrankNicolson>
    class FDDividendEngineMerton73 : public FDDividendEngineBase<Scheme> {
      public:
        FDDividendEngineMerton73(
             const boost::shared_ptr<GeneralizedBlackScholesProcess>& process,
             Size timeSteps = 100,
             Size gridPoints = 100,
             bool timeDependent = false)
        : FDDividendEngineBase<Scheme>(process, timeSteps,
                                       gridPoints, timeDependent) {}
      private:
        void setGridLimits() const;
        void executeIntermediateStep(Size step) const;
    };

    //! Finite-differences engine for dividend options using shifted dividends
    /*! This engine uses the same algorithm that was used in versions
        0.3.11 and earlier.  It produces results that are different
        from the Merton-73 engine.

       \todo Review literature to see whether this is described

       \ingroup vanillaengines
    */
    template <template <class> class Scheme = CrankNicolson>
    class FDDividendEngineShiftScale : public FDDividendEngineBase<Scheme> {
      public:
        FDDividendEngineShiftScale(
             const boost::shared_ptr<GeneralizedBlackScholesProcess>& process,
             Size timeSteps = 100,
             Size gridPoints = 100,
             bool timeDependent = false)
        : FDDividendEngineBase<Scheme>(process, timeSteps,
                                       gridPoints, timeDependent) {}
      private:
        void setGridLimits() const;
        void executeIntermediateStep(Size step) const;
    };


    // Use Merton73 engine as default.
    template <template <class> class Scheme = CrankNicolson>
    class FDDividendEngine : public FDDividendEngineMerton73<Scheme> {
      public:
        FDDividendEngine(
             const boost::shared_ptr<GeneralizedBlackScholesProcess>& process,
             Size timeSteps = 100,
             Size gridPoints = 100,
             bool timeDependent = false)
        : FDDividendEngineMerton73<Scheme>(process, timeSteps,
                                           gridPoints, timeDependent) {}
    };


    // template definitions

    template <template <class> class Scheme>
    void FDDividendEngineBase<Scheme>::setupArguments(
                                    const PricingEngine::arguments *a) const {
        const DividendVanillaOption::arguments *args =
            dynamic_cast<const DividendVanillaOption::arguments *>(a);
        QL_REQUIRE(args, "incorrect argument type");
        std::vector<boost::shared_ptr<Event> > events(args->cashFlow.size());
        std::copy(args->cashFlow.begin(), args->cashFlow.end(),
                  events.begin());
        FDMultiPeriodEngine<Scheme>::setupArguments(a, events);
    }


    // The value of the x axis is the NPV of the underlying minus the
    // value of the paid dividends.

    // Note that to get the PDE to work, I have to scale the values
    // and not shift them.  This means that the price curve assumes
    // that the dividends are scaled with the value of the underlying.
    //

    template <template <class> class Scheme>
    void FDDividendEngineMerton73<Scheme>::setGridLimits() const {
        Real paidDividends = 0.0;
        for (Size i=0; i<this->events_.size(); i++) {
            if (this->getDividendTime(i) >= 0.0)
                paidDividends += this->getDiscountedDividend(i);
        }

        FDVanillaEngine::setGridLimits(
                       this->process_->stateVariable()->value()-paidDividends,
                       this->getResidualTime());
        this->ensureStrikeInGrid();
    }

    // TODO:  Make this work for both fixed and scaled dividends
    template <template <class> class Scheme>
    void FDDividendEngineMerton73<Scheme>::executeIntermediateStep(
                                                             Size step) const{
        Real scaleFactor =
            this->getDiscountedDividend(step) / this->center_ + 1.0;
        this->sMin_ *= scaleFactor;
        this->sMax_ *= scaleFactor;
        this->center_ *= scaleFactor;

        this->intrinsicValues_.scaleGrid(scaleFactor);
        this->intrinsicValues_.sample(*(this->payoff_));
        this->prices_.scaleGrid(scaleFactor);
        this->initializeOperator();
        this->initializeModel();

        this->initializeStepCondition();
        this->stepCondition_ -> applyTo(this->prices_.values(),
                                        this->getDividendTime(step));
    }

    namespace detail {

        class DividendAdder : std::unary_function<Real,Real> {
          private:
            const Dividend *dividend;
          public:
            DividendAdder (const Dividend *d) {
                dividend = d;
            }
            Real operator() (Real x) const {
                return x + dividend->amount(x);
            }
        };

    }

    template <template <class> class Scheme>
    void FDDividendEngineShiftScale<Scheme>::setGridLimits() const {
        Real underlying = this->process_->stateVariable()->value();
        for (Size i=0; i<this->events_.size(); i++) {
            const Dividend *dividend =
                dynamic_cast<const Dividend *>(this->events_[i].get());
            if (!dividend) continue;
            if (this->getDividendTime(i) < 0.0) continue;
            underlying -= dividend->amount(underlying);
        }

        FDVanillaEngine::setGridLimits(underlying,
                                       this->getResidualTime());
        this->ensureStrikeInGrid();
    }

    template <template <class> class Scheme>
    void FDDividendEngineShiftScale<Scheme>::executeIntermediateStep(
                                                             Size step) const{
        const Dividend *dividend =
            dynamic_cast<const Dividend *>(this->events_[step].get());
        if (!dividend) return;
        detail::DividendAdder adder(dividend);
        this->sMin_ = adder(this->sMin_);
        this->sMax_ = adder(this->sMax_);
        this->center_ = adder(this->center_);
        this->intrinsicValues_.transformGrid(adder);

        this->intrinsicValues_.sample(*(this->payoff_));
        this->prices_.transformGrid(adder);

        this->initializeOperator();
        this->initializeModel();

        this->initializeStepCondition();
        this->stepCondition_ -> applyTo(this->prices_.values(),
                                        this->getDividendTime(step));
    }

}


#endif
