public void calculate()
{
setupArguments(arguments_);
setGridLimits();
initializeInitialCondition();
initializeOperator();
initializeBoundaryConditions();
var model = new FiniteDifferenceModel <CrankNicolson <TridiagonalOperator> >(finiteDifferenceOperator_, BCs_);
prices_ = (SampledCurve)intrinsicValues_.Clone();
// this is a workaround for pointers to avoid unsafe code
// in the grid calculation Vector temp goes through many operations
object temp = prices_.values();
model.rollback(ref temp, getResidualTime(), 0, timeSteps_);
prices_.setValues((Vector)temp);
results_.value = prices_.valueAtCenter();
results_.delta = prices_.firstDerivativeAtCenter();
results_.gamma = prices_.secondDerivativeAtCenter();
results_.theta = Utils.blackScholesTheta(process_,
results_.value.GetValueOrDefault(),
results_.delta.GetValueOrDefault(),
results_.gamma.GetValueOrDefault());
results_.additionalResults.Add("priceCurve", prices_);
}
public void calculate() {
setupArguments(arguments_);
setGridLimits();
initializeInitialCondition();
initializeOperator();
initializeBoundaryConditions();
var model = new FiniteDifferenceModel<CrankNicolson<TridiagonalOperator>>(finiteDifferenceOperator_, BCs_);
prices_ = (SampledCurve)intrinsicValues_.Clone();
// this is a workaround for pointers to avoid unsafe code
// in the grid calculation Vector temp goes through many operations
object temp = prices_.values();
model.rollback(ref temp, getResidualTime(), 0, timeSteps_);
prices_.setValues((Vector)temp);
results_.value = prices_.valueAtCenter();
results_.delta = prices_.firstDerivativeAtCenter();
results_.gamma = prices_.secondDerivativeAtCenter();
results_.theta = Utils.blackScholesTheta(process_,
results_.value.GetValueOrDefault(),
results_.delta.GetValueOrDefault(),
results_.gamma.GetValueOrDefault());
results_.additionalResults.Add("priceCurve", prices_);
}
public void testConstruction()
{
//("Testing sampled curve construction...");
SampledCurve curve = new SampledCurve(Utils.BoundedGrid(-10.0, 10.0, 100));
FSquared f2 = new FSquared();
curve.sample(f2.value);
double expected = 100.0;
if (Math.Abs(curve.value(0) - expected) > 1e-5)
{
Assert.Fail("function sampling failed");
}
curve.setValue(0, 2.0);
if (Math.Abs(curve.value(0) - 2.0) > 1e-5)
{
Assert.Fail("curve value setting failed");
}
Vector value = curve.values();
value[1] = 3.0;
if (Math.Abs(curve.value(1) - 3.0) > 1e-5)
{
Assert.Fail("curve value grid failed");
}
curve.shiftGrid(10.0);
if (Math.Abs(curve.gridValue(0) - 0.0) > 1e-5)
{
Assert.Fail("sample curve shift grid failed");
}
if (Math.Abs(curve.value(0) - 2.0) > 1e-5)
{
Assert.Fail("sample curve shift grid - value failed");
}
curve.sample(f2.value);
curve.regrid(Utils.BoundedGrid(0.0, 20.0, 200));
double tolerance = 1.0e-2;
for (int i = 0; i < curve.size(); i++)
{
double grid = curve.gridValue(i);
double v = curve.value(i);
double exp = f2.value(grid);
if (Math.Abs(v - exp) > tolerance)
{
Assert.Fail("sample curve regriding failed" +
"\n at " + (i + 1) + " point " + "(x = " + grid + ")" +
"\n grid value: " + v +
"\n expected: " + exp);
}
}
}
public override void calculate(IPricingEngineResults r)
{
OneAssetOption.Results results = r as OneAssetOption.Results;
setGridLimits();
initializeInitialCondition();
initializeOperator();
initializeBoundaryConditions();
initializeStepCondition();
List <IOperator> operatorSet = new List <IOperator>();
List <Vector> arraySet = new List <Vector>();
BoundaryConditionSet bcSet = new BoundaryConditionSet();
StepConditionSet <Vector> conditionSet = new StepConditionSet <Vector>();
prices_ = (SampledCurve)intrinsicValues_.Clone();
controlPrices_ = (SampledCurve)intrinsicValues_.Clone();
controlOperator_ = (TridiagonalOperator)finiteDifferenceOperator_.Clone();
controlBCs_[0] = BCs_[0];
controlBCs_[1] = BCs_[1];
operatorSet.Add(finiteDifferenceOperator_);
operatorSet.Add(controlOperator_);
arraySet.Add(prices_.values());
arraySet.Add(controlPrices_.values());
bcSet.Add(BCs_);
bcSet.Add(controlBCs_);
conditionSet.Add(stepCondition_);
conditionSet.Add(new NullCondition <Vector>());
var model = new FiniteDifferenceModel <ParallelEvolver <CrankNicolson <TridiagonalOperator> > >(operatorSet, bcSet);
object temp = arraySet;
model.rollback(ref temp, getResidualTime(), 0.0, timeSteps_, conditionSet);
arraySet = (List <Vector>)temp;
prices_.setValues(arraySet[0]);
controlPrices_.setValues(arraySet[1]);
StrikedTypePayoff striked_payoff = payoff_ as StrikedTypePayoff;
Utils.QL_REQUIRE(striked_payoff != null, () => "non-striked payoff given");
double variance = process_.blackVolatility().link.blackVariance(exerciseDate_, striked_payoff.strike());
double dividendDiscount = process_.dividendYield().link.discount(exerciseDate_);
double riskFreeDiscount = process_.riskFreeRate().link.discount(exerciseDate_);
double spot = process_.stateVariable().link.value();
double forwardPrice = spot * dividendDiscount / riskFreeDiscount;
BlackCalculator black = new BlackCalculator(striked_payoff, forwardPrice, Math.Sqrt(variance), riskFreeDiscount);
results.value = prices_.valueAtCenter()
- controlPrices_.valueAtCenter()
+ black.value();
results.delta = prices_.firstDerivativeAtCenter()
- controlPrices_.firstDerivativeAtCenter()
+ black.delta(spot);
results.gamma = prices_.secondDerivativeAtCenter()
- controlPrices_.secondDerivativeAtCenter()
+ black.gamma(spot);
results.additionalResults["priceCurve"] = prices_;
}
public override void calculate(IPricingEngineResults r)
{
OneAssetOption.Results results = r as OneAssetOption.Results;
setGridLimits();
initializeInitialCondition();
initializeOperator();
initializeBoundaryConditions();
initializeStepCondition();
// typedef StandardSystemFiniteDifferenceModel model_type;
List<IOperator> operatorSet = new List<IOperator>();
List<Vector> arraySet = new List<Vector>();
BoundaryConditionSet bcSet = new BoundaryConditionSet();
StepConditionSet<Vector> conditionSet = new StepConditionSet<Vector>();
prices_ = (SampledCurve)intrinsicValues_.Clone();
controlPrices_ = (SampledCurve)intrinsicValues_.Clone();
controlOperator_ = (TridiagonalOperator)finiteDifferenceOperator_.Clone();
controlBCs_[0] = BCs_[0];
controlBCs_[1] = BCs_[1];
operatorSet.Add(finiteDifferenceOperator_);
operatorSet.Add(controlOperator_);
arraySet.Add(prices_.values());
arraySet.Add(controlPrices_.values());
bcSet.Add(BCs_);
bcSet.Add(controlBCs_);
conditionSet.Add(stepCondition_);
conditionSet.Add(new NullCondition<Vector>());
var model = new FiniteDifferenceModel<ParallelEvolver<CrankNicolson<TridiagonalOperator>>>(operatorSet, bcSet);
object temp = arraySet;
model.rollback(ref temp, getResidualTime(), 0.0, timeSteps_, conditionSet);
arraySet = (List<Vector>)temp;
prices_.setValues(arraySet[0]);
controlPrices_.setValues(arraySet[1]);
StrikedTypePayoff striked_payoff = payoff_ as StrikedTypePayoff;
if (striked_payoff == null)
throw new ApplicationException("non-striked payoff given");
double variance = process_.blackVolatility().link.blackVariance(exerciseDate_, striked_payoff.strike());
double dividendDiscount = process_.dividendYield().link.discount(exerciseDate_);
double riskFreeDiscount = process_.riskFreeRate().link.discount(exerciseDate_);
double spot = process_.stateVariable().link.value();
double forwardPrice = spot * dividendDiscount / riskFreeDiscount;
BlackCalculator black = new BlackCalculator(striked_payoff, forwardPrice, Math.Sqrt(variance), riskFreeDiscount);
results.value = prices_.valueAtCenter()
- controlPrices_.valueAtCenter()
+ black.value();
results.delta = prices_.firstDerivativeAtCenter()
- controlPrices_.firstDerivativeAtCenter()
+ black.delta(spot);
results.gamma = prices_.secondDerivativeAtCenter()
- controlPrices_.secondDerivativeAtCenter()
+ black.gamma(spot);
results.additionalResults.Add("priceCurve", prices_);
}