Ejemplo n.º 1
0
        public virtual void test_trinomialTree_up()
        {
            int nSteps = 133;
            LatticeSpecification lattice = new CoxRossRubinsteinLatticeSpecification();
            DoubleArray          rebate  = DoubleArray.of(nSteps + 1, i => REBATE_AMOUNT);
            double barrierLevel          = 135d;
            double tol = 1.0e-2;

            foreach (bool isCall in new bool[] { true, false })
            {
                foreach (double strike in STRIKES)
                {
                    foreach (double interest in INTERESTS)
                    {
                        foreach (double vol in VOLS)
                        {
                            foreach (double dividend in DIVIDENDS)
                            {
                                OptionFunction function = ConstantContinuousSingleBarrierKnockoutFunction.of(strike, TIME, PutCall.ofPut(!isCall), nSteps, BarrierType.UP, barrierLevel, rebate);
                                SimpleConstantContinuousBarrier barrier = SimpleConstantContinuousBarrier.of(BarrierType.UP, KnockType.KNOCK_OUT, barrierLevel);
                                double exact    = REBATE_AMOUNT * REBATE_PRICER.price(SPOT, TIME, interest - dividend, interest, vol, barrier.inverseKnockType()) + BARRIER_PRICER.price(SPOT, strike, TIME, interest - dividend, interest, vol, isCall, barrier);
                                double computed = TRINOMIAL_TREE.optionPrice(function, lattice, SPOT, vol, interest, dividend);
                                assertEquals(computed, exact, Math.Max(exact, 1d) * tol);
                            }
                        }
                    }
                }
            }
        }
 //-----------------------------------------------------------------------
 public override bool Equals(object obj)
 {
     if (obj == this)
     {
         return(true);
     }
     if (obj != null && obj.GetType() == this.GetType())
     {
         ConstantContinuousSingleBarrierKnockoutFunction other = (ConstantContinuousSingleBarrierKnockoutFunction)obj;
         return(JodaBeanUtils.equal(strike, other.strike) && JodaBeanUtils.equal(timeToExpiry, other.timeToExpiry) && JodaBeanUtils.equal(sign, other.sign) && (numberOfSteps == other.numberOfSteps) && JodaBeanUtils.equal(barrierType, other.barrierType) && JodaBeanUtils.equal(barrierLevel, other.barrierLevel) && JodaBeanUtils.equal(rebate, other.rebate));
     }
     return(false);
 }
Ejemplo n.º 3
0
        public virtual void test_of()
        {
            ConstantContinuousSingleBarrierKnockoutFunction test = ConstantContinuousSingleBarrierKnockoutFunction.of(STRIKE, TIME_TO_EXPIRY, PutCall.PUT, NUM, BarrierType.UP, BARRIER, REBATE);

            assertEquals(test.Sign, -1d);
            assertEquals(test.Strike, STRIKE);
            assertEquals(test.TimeToExpiry, TIME_TO_EXPIRY);
            assertEquals(test.NumberOfSteps, NUM);
            assertEquals(test.BarrierLevel, BARRIER);
            assertEquals(test.getBarrierLevel(23), BARRIER);
            assertEquals(test.BarrierType, BarrierType.UP);
            assertEquals(test.Rebate, REBATE);
            assertEquals(test.getRebate(14), REBATE_AMOUNT);
        }
Ejemplo n.º 4
0
        public virtual void test_optionPrice_down()
        {
            double tol     = 1.0e-12;
            double barrier = 97d;
            ConstantContinuousSingleBarrierKnockoutFunction test = ConstantContinuousSingleBarrierKnockoutFunction.of(STRIKE, TIME_TO_EXPIRY, PutCall.CALL, NUM, BarrierType.DOWN, barrier, REBATE);
            double spot = 100d;
            double u    = 1.05;
            double d    = 0.98;
            double m    = Math.Sqrt(u * d);
            double up   = 0.29;
            double dp   = 0.25;
            double mp   = 1d - up - dp;
            // test getPayoffAtExpiryTrinomial
            DoubleArray computedPayoff = test.getPayoffAtExpiryTrinomial(spot, d, m);
            int         expectedSize   = 2 * NUM + 1;

            assertEquals(computedPayoff.size(), expectedSize);
            double[] price = new double[expectedSize];
            for (int i = 0; i < expectedSize; ++i)
            {
                price[i] = spot * Math.Pow(u, 0.5 * i) * Math.Pow(d, NUM - 0.5 * i);
            }
            for (int i = 0; i < expectedSize; ++i)
            {
                double expectedPayoff = price[i] > barrier?Math.Max(price[i] - STRIKE, 0d) : REBATE_AMOUNT;

                if (i != 0 && price[i - 1] < barrier && price[i] > barrier)
                {
                    expectedPayoff = 0.5 * (expectedPayoff * (price[i] - barrier) + REBATE_AMOUNT * (barrier - price[i - 1])) / (price[i] - price[i - 1]) + 0.5 * expectedPayoff;
                }
                assertEquals(computedPayoff.get(i), expectedPayoff, tol);
            }
            // test getNextOptionValues
            double      df                 = 0.92;
            int         n                  = 2;
            DoubleArray values             = DoubleArray.of(1.4, 0.9, 0.1, 0.05, 0.0, 0.0, 0.0);
            DoubleArray computedNextValues = test.getNextOptionValues(df, up, mp, dp, values, spot, d, m, n);
            double      tmp                = df * (0.9 * dp + 0.1 * mp + 0.05 * up);
            DoubleArray expectedNextValues = DoubleArray.of(REBATE_AMOUNT, 0.5 * (tmp * (m * d - barrier / spot) + REBATE_AMOUNT * (barrier / spot - d * d)) / (m * d - d * d) + 0.5 * tmp, df * (0.1 * dp + 0.05 * mp), df * 0.05 * dp, 0.0);

            assertTrue(DoubleArrayMath.fuzzyEquals(computedNextValues.toArray(), expectedNextValues.toArray(), tol));
        }
Ejemplo n.º 5
0
        public virtual void test_optionPrice_up()
        {
            double tol = 1.0e-12;
            ConstantContinuousSingleBarrierKnockoutFunction test = ConstantContinuousSingleBarrierKnockoutFunction.of(STRIKE, TIME_TO_EXPIRY, PutCall.PUT, NUM, BarrierType.UP, BARRIER, REBATE);
            double spot = 130d;
            double u    = 1.05;
            double d    = 0.98;
            double m    = Math.Sqrt(u * d);
            double up   = 0.29;
            double dp   = 0.25;
            double mp   = 1d - up - dp;
            // test getPayoffAtExpiryTrinomial
            DoubleArray computedPayoff = test.getPayoffAtExpiryTrinomial(spot, d, m);
            int         expectedSize   = 2 * NUM + 1;

            assertEquals(computedPayoff.size(), expectedSize);
            double[] price = new double[expectedSize];
            for (int i = 0; i < expectedSize; ++i)
            {
                price[i] = spot * Math.Pow(u, 0.5 * i) * Math.Pow(d, NUM - 0.5 * i);
            }
            for (int i = 0; i < expectedSize; ++i)
            {
                double expectedPayoff = price[i] < BARRIER?Math.Max(STRIKE - price[i], 0d) : REBATE_AMOUNT;

                if (i != expectedSize - 1 && price[i] < BARRIER && price[i + 1] > BARRIER)
                {
                    expectedPayoff = 0.5 * ((BARRIER - price[i]) * expectedPayoff + (price[i + 1] - BARRIER) * REBATE_AMOUNT) / (price[i + 1] - price[i]) + 0.5 * expectedPayoff;
                }
                assertEquals(computedPayoff.get(i), expectedPayoff, tol);
            }
            // test getNextOptionValues
            double      df                 = 0.92;
            int         n                  = 2;
            DoubleArray values             = DoubleArray.of(1.4, 0.9, 0.1, 0.05, 0.0, 0.0, 0.0);
            DoubleArray computedNextValues = test.getNextOptionValues(df, up, mp, dp, values, spot, d, m, n);
            double      tmp                = df * 0.05 * dp;
            DoubleArray expectedNextValues = DoubleArray.of(df * (1.4 * dp + 0.9 * mp + 0.1 * up), df * (0.9 * dp + 0.1 * mp + 0.05 * up), df * (0.1 * dp + 0.05 * mp), 0.5 * ((BARRIER / spot - u * m) * tmp + (u * u - BARRIER / spot) * REBATE_AMOUNT) / (u * u - u * m) + 0.5 * tmp, REBATE_AMOUNT);

            assertTrue(DoubleArrayMath.fuzzyEquals(computedNextValues.toArray(), expectedNextValues.toArray(), tol));
        }