Examples of strike()

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

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

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

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

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

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

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            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);
            greeks.delta = phi * dividendDiscount * cumNormalDist.op(phi * d1_Sk)
            + (lambda / (spot * (1 - chi)) + chi_prime / ((1 - chi)*(1 - chi))) *
            (phi * (Sk - payoff.strike()) - black_Sk) * Math.pow((spot/Sk), lambda);

            greeks.gamma = phi * dividendDiscount * normalDist.op(phi*d1_Sk) /
            (spot * Math.sqrt(variance))
            + (2 * lambda * chi_prime / (spot * (1 - chi) * (1 - chi))
                    + 2 * chi_prime * chi_prime / ((1 - chi) * (1 - chi) * (1 - chi))
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Examples of org.jquantlib.instruments.StrikedTypePayoff.strike()

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            (spot * Math.sqrt(variance))
            + (2 * lambda * chi_prime / (spot * (1 - chi) * (1 - chi))
                    + 2 * chi_prime * chi_prime / ((1 - chi) * (1 - chi) * (1 - chi))
                    + chi_double_prime / ((1 - chi) * (1 - chi))
                    + lambda * (1 - lambda) / (spot * spot * (1 - chi)))
                    * (phi * (Sk - payoff.strike()) - black_Sk)
                    * Math.pow((spot/Sk), lambda);
        }

    } // end of "early exercise can be optimal"

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

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        /*@Real*/ double Nx_1, nx_1;
        final CumulativeNormalDistribution CND = new CumulativeNormalDistribution();
        final NormalDistribution ND = new NormalDistribution();

        if (sigG > Constants.QL_EPSILON) {
            /*@Real*/ final double x_1  = (muG-Math.log(payoff.strike())+variance)/sigG;
            Nx_1 = CND.op(x_1);
            nx_1 = ND.op(x_1);
        } else {
            Nx_1 = (muG > Math.log(payoff.strike()) ? 1.0 : 0.0);
            nx_1 = 0.0;
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Examples of org.jquantlib.instruments.StrikedTypePayoff.strike()

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        if (sigG > Constants.QL_EPSILON) {
            /*@Real*/ final double x_1  = (muG-Math.log(payoff.strike())+variance)/sigG;
            Nx_1 = CND.op(x_1);
            nx_1 = ND.op(x_1);
        } else {
            Nx_1 = (muG > Math.log(payoff.strike()) ? 1.0 : 0.0);
            nx_1 = 0.0;
        }
        greeks.vega = forwardPrice * riskFreeDiscount * ( (dmuG_dsig + sigG * dsigG_dsig)*Nx_1 + nx_1*dsigG_dsig );

        if (payoff.optionType() == Option.Type.Put) {
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Examples of org.jquantlib.instruments.StrikedTypePayoff.strike()

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        final /*@DiscountFactor*/ double dividendDiscount = process.dividendYield().currentLink().discount(a.exercise.lastDate());
        final /*@DiscountFactor*/ double riskFreeDiscount = process.riskFreeRate().currentLink().discount(a.exercise.lastDate());
        final double forwardPrice = spot * dividendDiscount / riskFreeDiscount;

        final double variance = process.blackVolatility().currentLink().blackVariance(a.exercise.lastDate(), payoff.strike());
        final BlackCalculator black = new BlackCalculator(payoff, forwardPrice, Math.sqrt(variance), riskFreeDiscount);

        r.value = black.value();
        greeks.delta = black.delta(spot);
        greeks.gamma = black.gamma(spot);
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