Examples of org.jquantlib.pricingengines.BlackCalculator.itmCashProbability()

Class org.jquantlib.pricingengines.BlackCalculator

Examples of org.jquantlib.pricingengines.BlackCalculator.itmCashProbability()

org.jquantlib.pricingengines.BlackCalculator.itmCashProbability()
Probability of being in the money in the bond martingale measure, i.e. N(d2).
It is a risk-neutral probability, not the real world one.

            greeks.vega        = black.vega(t);
            greeks.theta       = black.theta(spot, t);


            moreGreeks.thetaPerDay        = black.thetaPerDay(spot, t);
            moreGreeks.strikeSensitivity  = black.strikeSensitivity();
            moreGreeks.itmCashProbability = black.itmCashProbability();
        } else {
            // early exercise can be optimal
            final CumulativeNormalDistribution cumNormalDist = new CumulativeNormalDistribution();
            final double /*@Real*/ tolerance = 1e-6;
            final double /*@Real*/ Sk = criticalPrice(payoff, riskFreeDiscount, dividendDiscount, variance, tolerance);

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            greeks.vega            = black.vega(t);
            greeks.theta           = black.theta(spot, t);
            moreGreeks.thetaPerDay = black.thetaPerDay(spot, t);


            moreGreeks.strikeSensitivity  = black.strikeSensitivity();
            moreGreeks.itmCashProbability = black.itmCashProbability();
        } else {
            // early exercise can be optimal
            final CumulativeNormalDistribution cumNormalDist = new CumulativeNormalDistribution();
            final NormalDistribution normalDist = new NormalDistribution();

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            greeks.vega            = black.vega(t);
            greeks.theta           = black.theta(spot, t);
            moreGreeks.thetaPerDay = black.thetaPerDay(spot, t);


            moreGreeks.strikeSensitivity  = black.strikeSensitivity();
            moreGreeks.itmCashProbability = black.itmCashProbability();
        } else {
            // early exercise can be optimal - use approximation
            r.value = americanCallApproximation(spot,
                    strike,
                    riskFreeDiscount,

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            greeks.vega            = black.vega(t);
            greeks.theta           = black.theta(spot, t);
            moreGreeks.thetaPerDay = black.thetaPerDay(spot, t);


            moreGreeks.strikeSensitivity  = black.strikeSensitivity();
            moreGreeks.itmCashProbability = black.itmCashProbability();
        } else {
            // early exercise can be optimal - use approximation
            r.value = americanCallApproximation(spot,
                    strike,
                    riskFreeDiscount,

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            greeks.vega            = black.vega(t);
            greeks.theta           = black.theta(spot, t);
            moreGreeks.thetaPerDay = black.thetaPerDay(spot, t);


            moreGreeks.strikeSensitivity  = black.strikeSensitivity();
            moreGreeks.itmCashProbability = black.itmCashProbability();
        } else {
            // early exercise can be optimal
            final CumulativeNormalDistribution cumNormalDist = new CumulativeNormalDistribution();
            final NormalDistribution normalDist = new NormalDistribution();

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            greeks.vega        = black.vega(t);
            greeks.theta       = black.theta(spot, t);


            moreGreeks.thetaPerDay        = black.thetaPerDay(spot, t);
            moreGreeks.strikeSensitivity  = black.strikeSensitivity();
            moreGreeks.itmCashProbability = black.itmCashProbability();
        } else {
            // early exercise can be optimal
            final CumulativeNormalDistribution cumNormalDist = new CumulativeNormalDistribution();
            final double /*@Real*/ tolerance = 1e-6;
            final double /*@Real*/ Sk = criticalPrice(payoff, riskFreeDiscount, dividendDiscount, variance, tolerance);

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