Package org.jquantlib.instruments

Examples of org.jquantlib.instruments.StrikedTypePayoff.strike()

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        controlPrices.setValues(arraySet.get(1).clone());

        final StrikedTypePayoff striked_payoff = (StrikedTypePayoff) (payoff);
        QL.require(striked_payoff != null , "non-striked payoff given"); // QA:[RG]::verified // TODO: message

        final double variance = process.blackVolatility().currentLink().blackVariance(exerciseDate, striked_payoff.strike());
        final double dividendDiscount = process.dividendYield().currentLink().discount(exerciseDate);
        final double riskFreeDiscount = process.riskFreeRate().currentLink().discount(exerciseDate);
        final double spot = process.stateVariable().currentLink().value();
        final double forwardPrice = spot * dividendDiscount / riskFreeDiscount;

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    public void calculate() /* @ReadOnly */ {
        QL.require(a.exercise.type() == Exercise.Type.European , NOT_AN_EUROPEAN_OPTION); // TODO: message
        final StrikedTypePayoff payoff = (StrikedTypePayoff) a.payoff;
        QL.require(payoff != null , NON_STRIKED_PAYOFF_GIVEN); // TODO: message

        /* @Variance */final double variance = process.blackVolatility().currentLink().blackVariance(a.exercise.lastDate(), payoff.strike());
        /* @DiscountFactor */final double dividendDiscount = process.dividendYield().currentLink().discount(a.exercise.lastDate());
        /* @DiscountFactor */final double riskFreeDiscount = process.riskFreeRate().currentLink().discount(a.exercise.lastDate());
        /* @Real */final double spot = process.stateVariable().currentLink().value();
        QL.require(spot > 0.0, "negative or null underlying given"); // TODO: message
        /* @Real */final double forwardPrice = spot * dividendDiscount / riskFreeDiscount;
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    public void calculate() {
        QL.require(a.exercise.type()==Exercise.Type.European , NOT_AN_AMERICAN_OPTION); // TODO: message
        QL.require(a.payoff instanceof StrikedTypePayoff , NON_STRIKED_PAYOFF_GIVEN); // TODO: message
        final StrikedTypePayoff payoff = (StrikedTypePayoff) a.payoff;

        final double variance = process.blackVolatility().currentLink().blackVariance(a.exercise.lastDate(), payoff.strike());
        final double /* @DiscountFactor */dividendDiscount = process.dividendYield().currentLink().discount(a.exercise.lastDate());
        final double /* @DiscountFactor */riskFreeDiscount = process.riskFreeRate().currentLink().discount(a.exercise.lastDate());
        final double /* @Rate */drift = Math.log(dividendDiscount / riskFreeDiscount) - 0.5 * variance;

        final Integrand f = new Integrand(a.payoff, process.stateVariable().currentLink().value(), drift, variance);
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        double timeSum = 0.0;
        for (int k=0; k<fixingTimes.size(); k++) {
            timeSum += fixingTimes.get(k);
        }

        /*@Volatility*/ final double vola = process.blackVolatility().currentLink().blackVol(a.exercise.lastDate(), payoff.strike());

        /*@Real*/ double temp = 0.0;
        for (i=pastFixings+1; i<numberOfFixings; i++) {
            temp += fixingTimes.get(i-pastFixings-1)*(N-i);
        }
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        final AmericanExercise ex = (AmericanExercise)a.exercise;
        QL.require(!ex.payoffAtExpiry() , PAYOFF_AT_EXPIRY_NOT_HANDLED); // QA:[RG]::verified
        QL.require(a.payoff instanceof StrikedTypePayoff , NON_STRIKE_PAYOFF_GIVEN); // QA:[RG]::verified
        final StrikedTypePayoff payoff = (StrikedTypePayoff)a.payoff;

        final double /* @Real */variance = process.blackVolatility().currentLink().blackVariance(ex.lastDate(), payoff.strike());
        final double /* @DiscountFactor */dividendDiscount = process.dividendYield().currentLink().discount(ex.lastDate());
        final double /* @DiscountFactor */riskFreeDiscount = process.riskFreeRate().currentLink().discount(ex.lastDate());
        final double /* @Real */spot = process.stateVariable().currentLink().value();
        QL.require(spot > 0.0, "negative or null underlying given"); // TODO: message
        final double /* @Real */forwardPrice = spot * dividendDiscount / riskFreeDiscount;
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            final double /* @Real */temp_root = Math.sqrt((beta - 1) * (beta - 1) + (4 * alpha) / h);
            final double /* @Real */lambda = (-(beta - 1) + phi * temp_root) / 2;
            final double /* @Real */lambda_prime = -phi * alpha / (h * h * temp_root);

            final double /* @Real */black_Sk = BlackFormula.blackFormula(payoff.optionType(), payoff.strike(), forwardSk, Math.sqrt(variance)) * riskFreeDiscount;
            final double /* @Real */hA = phi * (Sk - payoff.strike()) - black_Sk;

            final double /* @Real */d1_Sk = (Math.log(forwardSk / payoff.strike()) + 0.5 * variance) / Math.sqrt(variance);
            final double /* @Real */d2_Sk = d1_Sk - Math.sqrt(variance);
            final double /* @Real */part1 = forwardSk * normalDist.op(d1_Sk) / (alpha * Math.sqrt(variance));
 
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            final double /* @Real */temp_root = Math.sqrt((beta - 1) * (beta - 1) + (4 * alpha) / h);
            final double /* @Real */lambda = (-(beta - 1) + phi * temp_root) / 2;
            final double /* @Real */lambda_prime = -phi * alpha / (h * h * temp_root);

            final double /* @Real */black_Sk = BlackFormula.blackFormula(payoff.optionType(), payoff.strike(), forwardSk, Math.sqrt(variance)) * riskFreeDiscount;
            final double /* @Real */hA = phi * (Sk - payoff.strike()) - black_Sk;

            final double /* @Real */d1_Sk = (Math.log(forwardSk / payoff.strike()) + 0.5 * variance) / Math.sqrt(variance);
            final double /* @Real */d2_Sk = d1_Sk - Math.sqrt(variance);
            final double /* @Real */part1 = forwardSk * normalDist.op(d1_Sk) / (alpha * Math.sqrt(variance));
            final double /* @Real */part2 = -phi * forwardSk * cumNormalDist.op(phi * d1_Sk) * Math.log(dividendDiscount) / Math.log(riskFreeDiscount);
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            final double /* @Real */lambda_prime = -phi * alpha / (h * h * temp_root);

            final double /* @Real */black_Sk = BlackFormula.blackFormula(payoff.optionType(), payoff.strike(), forwardSk, Math.sqrt(variance)) * riskFreeDiscount;
            final double /* @Real */hA = phi * (Sk - payoff.strike()) - black_Sk;

            final double /* @Real */d1_Sk = (Math.log(forwardSk / payoff.strike()) + 0.5 * variance) / Math.sqrt(variance);
            final double /* @Real */d2_Sk = d1_Sk - Math.sqrt(variance);
            final double /* @Real */part1 = forwardSk * normalDist.op(d1_Sk) / (alpha * Math.sqrt(variance));
            final double /* @Real */part2 = -phi * forwardSk * cumNormalDist.op(phi * d1_Sk) * Math.log(dividendDiscount) / Math.log(riskFreeDiscount);
            final double /* @Real */part3 = +phi * payoff.strike() * cumNormalDist.op(phi * d2_Sk);
            final double /* @Real */V_E_h = part1 + part2 + part3;
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            final double /* @Real */d1_Sk = (Math.log(forwardSk / payoff.strike()) + 0.5 * variance) / Math.sqrt(variance);
            final double /* @Real */d2_Sk = d1_Sk - Math.sqrt(variance);
            final double /* @Real */part1 = forwardSk * normalDist.op(d1_Sk) / (alpha * Math.sqrt(variance));
            final double /* @Real */part2 = -phi * forwardSk * cumNormalDist.op(phi * d1_Sk) * Math.log(dividendDiscount) / Math.log(riskFreeDiscount);
            final double /* @Real */part3 = +phi * payoff.strike() * cumNormalDist.op(phi * d2_Sk);
            final double /* @Real */V_E_h = part1 + part2 + part3;

            final double /* @Real */b = (1 - h) * alpha * lambda_prime / (2 * (2 * lambda + beta - 1));
            final double /* @Real */c = -((1 - h) * alpha / (2 * lambda + beta - 1)) * (V_E_h / (hA) + 1 / h + lambda_prime / (2 * lambda + beta - 1));
            final double /* @Real */temp_spot_ratio = Math.log(spot / Sk);
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            final double /* @Real */chi = temp_spot_ratio * (b * temp_spot_ratio + c);

            if (phi * (Sk - spot) > 0) {
                r.value = black.value() + hA * Math.pow((spot / Sk), lambda) / (1 - chi);
            } else {
                r.value = phi * (spot - payoff.strike());
            }

            final double /* @Real */temp_chi_prime = (2 * b / spot) * Math.log(spot / Sk);
            final double /* @Real */chi_prime = temp_chi_prime + c / spot;
            final double /* @Real */chi_double_prime = 2 * b / (spot * spot) - temp_chi_prime / spot - c / (spot * spot);
 
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