Examples of VanillaOption

org.jquantlib.instruments.VanillaOption
Vanilla option (no discrete dividends, no barriers) on a single asset @author Richard Gomes

Examples of org.jquantlib.instruments.VanillaOption

        final Payoff payoff = new PlainVanillaPayoff(type, strike);


        final BlackScholesMertonProcess bsmProcess = new BlackScholesMertonProcess(underlyingH, flatDividendTS, flatTermStructure, flatVolTS);


        // European Options
        final VanillaOption europeanOption = new EuropeanOption(payoff, europeanExercise);


        // Bermudan options (can be thought as a collection of European Options)
        final VanillaOption bermudanOption = new VanillaOption(payoff, bermudanExercise);


        // American Options
        final VanillaOption americanOption = new VanillaOption(payoff, americanExercise);




        // Analytic formulas:


        // Black-Scholes for European
        String method = "Black-Scholes";
        europeanOption.setPricingEngine(new AnalyticEuropeanEngine(bsmProcess));
        System.out.printf(fmt, method, europeanOption.NPV(), Double.NaN, Double.NaN );


        // Barone-Adesi and Whaley approximation for American
        method = "Barone-Adesi/Whaley";
        americanOption.setPricingEngine(new BaroneAdesiWhaleyApproximationEngine(bsmProcess));
        System.out.printf(fmt, method, Double.NaN, Double.NaN, americanOption.NPV() );


        // Bjerksund and Stensland approximation for American
        method = "Bjerksund/Stensland";
        americanOption.setPricingEngine(new BjerksundStenslandApproximationEngine(bsmProcess));
        System.out.printf(fmt, method, Double.NaN, Double.NaN, americanOption.NPV() );


        // Ju Quadratic approximation for American
        method = "Ju Quadratic";
        americanOption.setPricingEngine(new JuQuadraticApproximationEngine(bsmProcess));
        System.out.printf(fmt, method, Double.NaN, Double.NaN, americanOption.NPV() );


        // Integral
        method = "Integral";
        europeanOption.setPricingEngine(new IntegralEngine(bsmProcess));
        System.out.printf(fmt, method, europeanOption.NPV(), Double.NaN, Double.NaN );


        int timeSteps = 801;


        // Binomial method
        method = "Binomial Jarrow-Rudd";
        europeanOption.setPricingEngine(new BinomialVanillaEngine<JarrowRudd>(JarrowRudd.class, bsmProcess, timeSteps));
        bermudanOption.setPricingEngine(new BinomialVanillaEngine<JarrowRudd>(JarrowRudd.class, bsmProcess, timeSteps));
        americanOption.setPricingEngine(new BinomialVanillaEngine<JarrowRudd>(JarrowRudd.class, bsmProcess, timeSteps));
        double bNPV = Double.NaN;
        if (System.getProperty("EXPERIMENTAL") != null) {
            bNPV = bermudanOption.NPV();
        }
        System.out.printf(fmt, method, europeanOption.NPV(), bNPV, americanOption.NPV() );


        method = "Binomial Cox-Ross-Rubinstein";
        europeanOption.setPricingEngine(new BinomialVanillaEngine<CoxRossRubinstein>(CoxRossRubinstein.class, bsmProcess, timeSteps));
        bermudanOption.setPricingEngine(new BinomialVanillaEngine<CoxRossRubinstein>(CoxRossRubinstein.class, bsmProcess, timeSteps));
        americanOption.setPricingEngine(new BinomialVanillaEngine<CoxRossRubinstein>(CoxRossRubinstein.class, bsmProcess, timeSteps));
        if (System.getProperty("EXPERIMENTAL") != null) {
            bNPV = bermudanOption.NPV();
        }
        System.out.printf(fmt, method, europeanOption.NPV(), bNPV, americanOption.NPV() );


        method = "Additive EquiProbabilities";
        europeanOption.setPricingEngine(new BinomialVanillaEngine<AdditiveEQPBinomialTree>(AdditiveEQPBinomialTree.class, bsmProcess, timeSteps));
        bermudanOption.setPricingEngine(new BinomialVanillaEngine<AdditiveEQPBinomialTree>(AdditiveEQPBinomialTree.class, bsmProcess, timeSteps));
        americanOption.setPricingEngine(new BinomialVanillaEngine<AdditiveEQPBinomialTree>(AdditiveEQPBinomialTree.class, bsmProcess, timeSteps));
        if (System.getProperty("EXPERIMENTAL") != null) {
            bNPV = bermudanOption.NPV();
        }
        System.out.printf(fmt, method, europeanOption.NPV(), bNPV, americanOption.NPV() );


        method = "Binomial Trigeorgis";
        europeanOption.setPricingEngine(new BinomialVanillaEngine<Trigeorgis>(Trigeorgis.class, bsmProcess, timeSteps));
        bermudanOption.setPricingEngine(new BinomialVanillaEngine<Trigeorgis>(Trigeorgis.class, bsmProcess, timeSteps));
        americanOption.setPricingEngine(new BinomialVanillaEngine<Trigeorgis>(Trigeorgis.class, bsmProcess, timeSteps));
        if (System.getProperty("EXPERIMENTAL") != null) {
            bNPV = bermudanOption.NPV();
        }
        System.out.printf(fmt, method, europeanOption.NPV(), bNPV, americanOption.NPV() );


        method = "Binomial Tian";
        europeanOption.setPricingEngine(new BinomialVanillaEngine<Tian>(Tian.class, bsmProcess, timeSteps));
        bermudanOption.setPricingEngine(new BinomialVanillaEngine<Tian>(Tian.class, bsmProcess, timeSteps));
        americanOption.setPricingEngine(new BinomialVanillaEngine<Tian>(Tian.class, bsmProcess, timeSteps));
        if (System.getProperty("EXPERIMENTAL") != null) {
            bNPV = bermudanOption.NPV();
        }
        System.out.printf(fmt, method, europeanOption.NPV(), bNPV, americanOption.NPV() );


        method = "Binomial Leisen-Reimer";
        europeanOption.setPricingEngine(new BinomialVanillaEngine<LeisenReimer>(LeisenReimer.class, bsmProcess, timeSteps));
        bermudanOption.setPricingEngine(new BinomialVanillaEngine<LeisenReimer>(LeisenReimer.class, bsmProcess, timeSteps));
        americanOption.setPricingEngine(new BinomialVanillaEngine<LeisenReimer>(LeisenReimer.class, bsmProcess, timeSteps));
        if (System.getProperty("EXPERIMENTAL") != null) {
            bNPV = bermudanOption.NPV();
        }
        System.out.printf(fmt, method, europeanOption.NPV(), bNPV, americanOption.NPV() );


        method = "Binomial Joshi";
        europeanOption.setPricingEngine(new BinomialVanillaEngine<Joshi4>(Joshi4.class, bsmProcess, timeSteps));
        bermudanOption.setPricingEngine(new BinomialVanillaEngine<Joshi4>(Joshi4.class, bsmProcess, timeSteps));
        americanOption.setPricingEngine(new BinomialVanillaEngine<Joshi4>(Joshi4.class, bsmProcess, timeSteps));
        if (System.getProperty("EXPERIMENTAL") != null) {
            bNPV = bermudanOption.NPV();
        }
        System.out.printf(fmt, method, europeanOption.NPV(), bNPV, americanOption.NPV() );




        //
        //
        //


        // Finite differences
        method = "Finite differences";
        europeanOption.setPricingEngine(new FDEuropeanEngine(bsmProcess, timeSteps, timeSteps-1, false));
        bermudanOption.setPricingEngine(new FDBermudanEngine(bsmProcess, timeSteps, timeSteps-1));
        americanOption.setPricingEngine(new FDAmericanEngine(bsmProcess, timeSteps, timeSteps-1, false));
        if (System.getProperty("EXPERIMENTAL") != null) {
            bNPV = bermudanOption.NPV();
        }
        System.out.printf(fmt, method, europeanOption.NPV(), bNPV, americanOption.NPV() );


        //
        //
        //

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Examples of org.jquantlib.instruments.VanillaOption

        Handle<YieldTermStructure> flatTermStructure = new Handle<YieldTermStructure>(new FlatForward(settlementDate, riskFreeRate, dayCounter));
        Handle<BlackVolTermStructure> flatVolTS = new Handle<BlackVolTermStructure>(new BlackConstantVol(settlementDate, calendar, volatility, dayCounter));


        GeneralizedBlackScholesProcess stochasticProcess = new BlackScholesMertonProcess(underlyingH, flatDividendTS, flatTermStructure, flatVolTS);


        VanillaOption europeanOption = new EuropeanOption(payoff, europeanExercise);


        europeanOption.setPricingEngine(new AnalyticEuropeanEngine(stochasticProcess));


        return europeanOption.NPV();


 }

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Examples of org.jquantlib.instruments.VanillaOption


            default:
                throw new UnsupportedOperationException("unknown engine type: "+engineType);
        }


        final VanillaOption option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);
        return option;
    }

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Examples of org.jquantlib.instruments.VanillaOption

                new Handle<YieldTermStructure>(qTS),
                new Handle<YieldTermStructure>(rTS),
                new Handle<BlackVolTermStructure>(volTS));
        final PricingEngine engine = new AnalyticEuropeanEngine(stochProcess);


        VanillaOption option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.delta();
        error = Math.abs(calculated - values[i].result);


        if (error > tolerance) {
            REPORT_FAILURE("delta", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }


        //testing delta 2
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.delta();
        error = Math.abs(calculated - values[i].result);
        if(error>tolerance) {
            REPORT_FAILURE("delta", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }


        //testing elasticity
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.elasticity();
        error = Math.abs(Math.abs(calculated - values[i].result));
        if(error>tolerance) {
            REPORT_FAILURE("elasticity", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }


        // testing gamma 1
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.gamma();
        error = Math.abs(Math.abs(calculated - values[i].result));
        if(error>tolerance) {
            REPORT_FAILURE("gamma", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }


        // testing gamma 2
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.gamma();
        error = Math.abs(Math.abs(calculated - values[i].result));
        if(error>tolerance) {
            REPORT_FAILURE("gamma", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }


        //testing vega 1
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.vega();
        error = Math.abs(Math.abs(calculated - values[i].result));
        if(error>tolerance) {
            REPORT_FAILURE("vega", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }


        //testing vega 2
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.vega();
        error = Math.abs(Math.abs(calculated - values[i].result));
        if(error>tolerance) {
            REPORT_FAILURE("vega", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }


        //testing theta
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.theta();
        error = Math.abs(Math.abs(calculated - values[i].result));
        if(error>tolerance) {
            REPORT_FAILURE("theta", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }




        //testing theta per day
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.thetaPerDay();
        error = Math.abs(Math.abs(calculated - values[i].result));
        if(error>tolerance) {
            REPORT_FAILURE("theta per day", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }




        //testing rho
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.rho();
        error = Math.abs(Math.abs(calculated - values[i].result));
        if(error>tolerance) {
            REPORT_FAILURE("rho", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }


        //testing dividend rho
        i++;
        payoff = new PlainVanillaPayoff(values[i].type, values[i].strike);
        exDate = today.add(timeToDays(values[i].t));
        exercise = new EuropeanExercise(exDate);
        spot.setValue(values[i].s);
        qRate.setValue(values[i].q);
        rRate.setValue(values[i].r);
        vol.setValue(values[i].v);


        option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);


        calculated = option.dividendRho();
        error = Math.abs(Math.abs(calculated - values[i].result));
        if(error>tolerance) {
            REPORT_FAILURE("dividend rho", payoff, exercise, values[i].s, values[i].q, values[i].r, today, values[i].v,
                    values[i].result, calculated, error, tolerance);
        }

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Examples of org.jquantlib.instruments.VanillaOption

                for (final int length : lengths) {
                    // option to check
                    final Date exDate = today.add( length );
                    final Exercise exercise = new EuropeanExercise(exDate);
                    final StrikedTypePayoff payoff = new PlainVanillaPayoff(type, strike2);
                    final VanillaOption option = makeOption(payoff, exercise, spot, qTS, rTS, volTS, EngineType.Analytic, 0, 0);


                    final GeneralizedBlackScholesProcess process = makeProcess(spot, qTS, rTS,volTS);


                    for (final double u : underlyings) {
                        for (final double q : qRates) {
                            for (final double r : rRates) {
                                for (final double v : vols) {
                                    spot.setValue(u);
                                    qRate.setValue(q);
                                    rRate.setValue(r);
                                    vol.setValue(v);


                                    final double value = option.NPV();
                                    double implVol = 0.0; // just to remove a warning...
                                    if (value != 0.0) {
                                        // shift guess somehow
                                        vol.setValue(v*0.5);
                                        if (Math.abs(value-option.NPV()) <= 1.0e-12) {
                                            // flat price vs vol --- pointless (and
                                            // numerically unstable) to solve
                                            continue;
                                        }


                                        implVol = option.impliedVolatility(value, process, tolerance, maxEvaluations);


                                        if (Math.abs(implVol-v) > tolerance) {
                                            // the difference might not matter
                                            vol.setValue(implVol);
                                            final double value2 = option.NPV();
                                            final double error = Utilities.relativeError(value,value2,u);
                                            if (error > tolerance) {
                                                fail(
                                                        type + " option :\n"
                                                        + "    spot value:          " + u + "\n"

View Full Code Here

Examples of org.jquantlib.instruments.VanillaOption

                    final Exercise exercise = new EuropeanExercise(exDate);


                    final StrikedTypePayoff payoff = new PlainVanillaPayoff(type, strike3);


                    // reference option
                    final VanillaOption refOption = makeOption(payoff, exercise, spot, qTS, rTS, volTS, EngineType.Analytic, 0, 0);
                    // option to check
                    final VanillaOption option = makeOption(payoff, exercise, spot, qTS, rTS, volTS, engine, binomialSteps, samples);


                    for (final double u : underlyings) {
                        for (final double q : qRates) {
                            for (final double r : rRates) {
                                for (final double v : vols) {
                                    spot.setValue(u);
                                    qRate.setValue(q);
                                    rRate.setValue(r);
                                    vol.setValue(v);


                                    expected.clear();
                                    calculated.clear();


                                    final double refNPV = refOption.NPV();
                                    final double optNPV = option.NPV();


                                    expected.put("value", refNPV);
                                    calculated.put("value", optNPV);


                                    if (testGreeks && option.NPV() > spot.value() * 1.0e-5) {
                                        expected.put("delta", refOption.delta());
                                        expected.put("gamma", refOption.gamma());
                                        expected.put("theta", refOption.theta());
                                        calculated.put("delta", option.delta());
                                        calculated.put("gamma", option.gamma());
                                        calculated.put("theta", option.theta());
                                    }


                                    for (final Entry<String, Double> entry : calculated.entrySet()) {
                                        final String greek = entry.getKey();
                                        final double expct = expected.get(greek), calcl = calculated.get(greek), tol = tolerance.get(greek);

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Examples of org.jquantlib.instruments.VanillaOption

                    final Date exDate = today.add(length * 360);
                    final Exercise exercise = new EuropeanExercise(exDate);
                    final StrikedTypePayoff payoff = new PlainVanillaPayoff(type, strike);


                    // reference option
                    final VanillaOption refOption = makeOption(payoff, exercise, spot, qTS, rTS, volTS, EngineType.Analytic,
                            Constants.NULL_INTEGER, Constants.NULL_INTEGER);


                    // option to check
                    final VanillaOption option = makeOption(payoff, exercise, spot, qTS, rTS, volTS, engine, binomialSteps, samples);


                    for (final double u : underlyings)
                        for (final double q : qRates)
                            for (final double r : rRates)
                                for (final double v : vols) {
                                    spot.setValue(u);
                                    qRate.setValue(q);
                                    rRate.setValue(r);
                                    vol.setValue(v);


                                    expected.clear();
                                    calculated.clear();


                                    // FLOATING_POINT_EXCEPTION
                                    expected.put("value", refOption.NPV());
                                    calculated.put("value", option.NPV());


                                    if (option.NPV() > spot.value() * 1.0e-5) {
                                        expected.put("delta", refOption.delta());
                                        expected.put("gamma", refOption.gamma());
                                        expected.put("theta", refOption.theta());
                                        calculated.put("delta", option.delta());
                                        calculated.put("gamma", option.gamma());
                                        calculated.put("theta", option.theta());
                                    }
                                    for (final Map.Entry<String, Double> it : calculated.entrySet()) {


                                        final String greek = it.getKey();
                                        /* @Real */final double expct = expected.get(greek);

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Examples of org.jquantlib.instruments.VanillaOption

            break;
        default:
            throw new IllegalStateException("unknown engine type");
        }


        final VanillaOption option = new EuropeanOption(payoff, exercise);
        option.setPricingEngine(engine);
        return option;
    }

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Examples of org.jquantlib.instruments.VanillaOption

        euExercise, vars.conversionRatio, vars.no_dividends,
        vars.no_callability, vars.creditSpread, vars.issueDate,
        vars.settlementDays, vars.dayCounter, schedule, vars.redemption);
    euZero.setPricingEngine(engine);


    final VanillaOption euOption = new VanillaOption(payoff, euExercise);
    euOption.setPricingEngine(vanillaEngine);


    final double tolerance = 5.0e-2 * (vars.faceAmount / 100.0);


    final double expected = vars.faceAmount
        / 100.0
        * (vars.redemption
            * vars.riskFreeRate.currentLink().discount(
                vars.maturityDate) + vars.conversionRatio
            * euOption.NPV());
    final double error = Math.abs(euZero.NPV() - expected);
    if (error > tolerance) {
      fail("failed to reproduce plain-option price:"
          + "\n    calculated: " + euZero.NPV()
          + "\n    expected:   " + expected + "\n    error:      "

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Examples of org.jquantlib.instruments.VanillaOption

                    new Handle<YieldTermStructure>(qTS),
                    new Handle<YieldTermStructure>(rTS),
                    new Handle<BlackVolTermStructure>(volTS));
            final PricingEngine engine = new BjerksundStenslandApproximationEngine(stochProcess);


            final VanillaOption option = new VanillaOption(payoff, exercise);
            option.setPricingEngine(engine);


            final double /* @Real */calculated = option.NPV();
            final double /* @Real */error = Math.abs(calculated - value.result);


            if (error > tolerance) {
                reportFailure(
                        "value", payoff, exercise,

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