Beispiel #1
0
    void collectNodeData(MarketModelEvolver& evolver,
                         MarketModelMultiProduct& product,
                         MarketModelNodeDataProvider& dataProvider,
                         MarketModelExerciseValue& rebate,
                         MarketModelExerciseValue& control,
                         Size numberOfPaths,
                         std::vector<std::vector<NodeData> >& collectedData) {

        std::vector<Real> numerairesHeld;

        QL_REQUIRE(product.numberOfProducts() == 1,
                   "a single product is required");

        // TODO: check that all objects have compatible evolutions
        // (same rate times; evolution times for product, basis
        // system, rebate and control must be subsets of the passed
        // evolution times; rebate, control and basis system must have
        // the same exercise---not evolution---times)

        std::vector<Size> numberCashFlowsThisStep(1);
        std::vector<std::vector<CashFlow> > cashFlowsGenerated(1);
        cashFlowsGenerated[0].resize(
                           product.maxNumberOfCashFlowsPerProductPerStep());


        std::vector<Time> rateTimes = product.evolution().rateTimes();

        std::vector<Time> cashFlowTimes = product.possibleCashFlowTimes();
        std::vector<Time> rebateTimes = rebate.possibleCashFlowTimes();
        std::vector<Time> controlTimes = control.possibleCashFlowTimes();

        Size i, n;

        n = cashFlowTimes.size();
        std::vector<MarketModelDiscounter> productDiscounters;
        productDiscounters.reserve(n);
        for (i=0; i<n; ++i)
            productDiscounters.push_back(
                                     MarketModelDiscounter(cashFlowTimes[i],
                                                           rateTimes));

        n = rebateTimes.size();
        std::vector<MarketModelDiscounter> rebateDiscounters;
        rebateDiscounters.reserve(n);
        for (i=0; i<n; ++i)
            rebateDiscounters.push_back(
                                     MarketModelDiscounter(rebateTimes[i],
                                                           rateTimes));
        n = controlTimes.size();
        std::vector<MarketModelDiscounter> controlDiscounters;
        controlDiscounters.reserve(n);
        for (i=0; i<n; ++i)
            controlDiscounters.push_back(
                                     MarketModelDiscounter(controlTimes[i],
                                                           rateTimes));

        EvolutionDescription evolution = product.evolution();
        const std::vector<Size>& numeraires = evolver.numeraires();

        std::vector<Time> evolutionTimes = evolution.evolutionTimes();

        std::valarray<bool> isProductTime =
            isInSubset(evolutionTimes,
                       product.evolution().evolutionTimes());
        std::valarray<bool> isRebateTime =
            isInSubset(evolutionTimes,
                       rebate.evolution().evolutionTimes());
        std::valarray<bool> isControlTime =
            isInSubset(evolutionTimes,
                       control.evolution().evolutionTimes());
        std::valarray<bool> isBasisTime =
            isInSubset(evolutionTimes,
                       dataProvider.evolution().evolutionTimes());
        std::valarray<bool> isExerciseTime(false,evolutionTimes.size());
        std::valarray<bool> v = rebate.isExerciseTime();
        Size exercises = 0;
        for (i=0; i<evolutionTimes.size(); ++i) {
            if (isRebateTime[i]) {
                isExerciseTime[i] = v[exercises];
                ++exercises;
            }
        }

        collectedData.resize(exercises+1);
        for (i=0; i<collectedData.size(); ++i)
            collectedData[i].resize(numberOfPaths);


        for (i=0; i<numberOfPaths; ++i) {
            evolver.startNewPath();
            product.reset();
            rebate.reset();
            control.reset();
            dataProvider.reset();
            Real principalInNumerairePortfolio = 1.0;

            bool done = false;
            Size nextExercise = 0;
            collectedData[0][i].cumulatedCashFlows = 0.0;
            do {
                Size currentStep = evolver.currentStep();
                evolver.advanceStep();
                const CurveState& currentState = evolver.currentState();
                Size numeraire = numeraires[currentStep];

                if (isRebateTime[currentStep])
                    rebate.nextStep(currentState);
                if (isControlTime[currentStep])
                    control.nextStep(currentState);
                if (isBasisTime[currentStep])
                    dataProvider.nextStep(currentState);

                if (isExerciseTime[currentStep]) {
                    NodeData& data = collectedData[nextExercise+1][i];

                    CashFlow exerciseValue = rebate.value(currentState);
                    data.exerciseValue =
                        exerciseValue.amount *
                        rebateDiscounters[exerciseValue.timeIndex]
                           .numeraireBonds(currentState, numeraire) /
                        principalInNumerairePortfolio;

                    dataProvider.values(currentState,
                                        data.values);

                    CashFlow controlValue = control.value(currentState);
                    data.controlValue =
                        controlValue.amount *
                        controlDiscounters[controlValue.timeIndex]
                           .numeraireBonds(currentState, numeraire) /
                        principalInNumerairePortfolio;

                    data.cumulatedCashFlows = 0.0;

                    data.isValid = true;

                    ++nextExercise;
                }

                if (isProductTime[currentStep]) {
                    done = product.nextTimeStep(currentState,
                                                numberCashFlowsThisStep,
                                                cashFlowsGenerated);

                    for (Size j=0; j<numberCashFlowsThisStep[0]; ++j) {
                        const CashFlow& cf = cashFlowsGenerated[0][j];
                        collectedData[nextExercise][i].cumulatedCashFlows +=
                            cf.amount *
                            productDiscounters[cf.timeIndex]
                                .numeraireBonds(currentState, numeraire) /
                            principalInNumerairePortfolio;
                    }
                }

                if (!done) {
                    Size nextNumeraire = numeraires[currentStep+1];
                    principalInNumerairePortfolio *=
                        currentState.discountRatio(numeraire,
                                                   nextNumeraire);
                }
            }
            while (!done);

            // fill the remaining (un)collected data with nulls
            for (Size j = nextExercise; j < exercises; ++j) {
                NodeData& data = collectedData[j+1][i];
                data.exerciseValue = data.controlValue = 0.0;
                data.cumulatedCashFlows = 0.0;
                data.isValid = false;
            }
        }
    }
void ProxyGreekEngine::singleEvolverValues(MarketModelEvolver& evolver,
        std::vector<Real>& values,
        bool storeRates) {

    std::fill(numerairesHeld_.begin(), numerairesHeld_.end(), 0.0);
    Real weight = evolver.startNewPath();
    product_->reset();
    Real principalInNumerairePortfolio = 1.0;

    if (storeRates)
        constraintsActive_ =false;
    //            std::fill(constraintsActive_.begin(),
    //                    constraintsActive_.end(),
    //                  false);
    //  }

    bool done = false;
    do {
        Size thisStep = evolver.currentStep();
        weight *= evolver.advanceStep();
        done = product_->nextTimeStep(evolver.currentState(),
                                      numberCashFlowsThisStep_,
                                      cashFlowsGenerated_);
        if (storeRates) {
            constraints_[thisStep] = evolver.currentState().swapRate(
                                         startIndexOfConstraint_[thisStep],
                                         endIndexOfConstraint_[thisStep]);
            constraintsActive_[thisStep] = true;
        }

        Size numeraire =
            evolver.numeraires()[thisStep];

        // for each product...
        for (Size i=0; i<numberProducts_; ++i) {
            // ...and each cash flow...
            const std::vector<MarketModelMultiProduct::CashFlow>& cashflows =
                cashFlowsGenerated_[i];
            for (Size j=0; j<numberCashFlowsThisStep_[i]; ++j) {
                // ...convert the cash flow to numeraires.
                // This is done by calculating the number of
                // numeraire bonds corresponding to such cash flow...
                const MarketModelDiscounter& discounter =
                    discounters_[cashflows[j].timeIndex];

                Real bonds = cashflows[j].amount *
                             discounter.numeraireBonds(evolver.currentState(),
                                                       numeraire);

                // ...and adding the newly bought bonds to the number
                // of numeraires held.
                numerairesHeld_[i] +=
                    weight*bonds/principalInNumerairePortfolio;
            }
        }

        if (!done) {

            // The numeraire might change between steps. This implies
            // that we might have to convert the numeraire bonds for
            // this step into a corresponding amount of numeraire
            // bonds for the next step. This can be done by changing
            // the principal of the numeraire and updating the number
            // of bonds in the numeraire portfolio accordingly.

            Size nextNumeraire = evolver.numeraires()[thisStep+1];

            principalInNumerairePortfolio *=
                evolver.currentState().discountRatio(numeraire,
                        nextNumeraire);
        }

    } while (!done);

    for (Size i=0; i<numerairesHeld_.size(); ++i)
        values[i] = numerairesHeld_[i] * initialNumeraireValue_;

}