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| MCAmericanBasketEngine (const ext::shared_ptr< StochasticProcessArray > &, Size timeSteps, Size timeStepsPerYear, bool brownianBridge, bool antitheticVariate, Size requiredSamples, Real requiredTolerance, Size maxSamples, BigNatural seed, Size nCalibrationSamples=Null< Size >(), Size polynomialOrder=2, LsmBasisSystem::PolynomialType polynomialType=LsmBasisSystem::Monomial) |
| | MCLongstaffSchwartzEngine (ext::shared_ptr< StochasticProcess > process, Size timeSteps, Size timeStepsPerYear, bool brownianBridge, bool antitheticVariate, bool controlVariate, Size requiredSamples, Real requiredTolerance, Size maxSamples, BigNatural seed, Size nCalibrationSamples=Null< Size >(), ext::optional< bool > brownianBridgeCalibration=ext::nullopt, ext::optional< bool > antitheticVariateCalibration=ext::nullopt, BigNatural seedCalibration=Null< Size >()) |
| void | calculate () const override |
| PricingEngine::arguments * | getArguments () const override |
| const PricingEngine::results * | getResults () const override |
| void | reset () override |
| void | update () override |
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| Observable (const Observable &) |
| Observable & | operator= (const Observable &) |
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| Observable (Observable &&)=delete |
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Observable & | operator= (Observable &&)=delete |
| void | notifyObservers () |
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| Observer (const Observer &) |
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Observer & | operator= (const Observer &) |
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std::pair< iterator, bool > | registerWith (const ext::shared_ptr< Observable > &) |
| void | registerWithObservables (const ext::shared_ptr< Observer > &) |
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Size | unregisterWith (const ext::shared_ptr< Observable > &) |
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void | unregisterWithAll () |
| virtual void | deepUpdate () |
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result_type | value (Real tolerance, Size maxSamples=QL_MAX_INTEGER, Size minSamples=1023) const |
| | add samples until the required absolute tolerance is reached
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result_type | valueWithSamples (Size samples) const |
| | simulate a fixed number of samples
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result_type | errorEstimate () const |
| | error estimated using the samples simulated so far
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const stats_type & | sampleAccumulator () const |
| | access to the sample accumulator for richer statistics
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void | calculate (Real requiredTolerance, Size requiredSamples, Size maxSamples) const |
| | basic calculate method provided to inherited pricing engines
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typedef MultiVariate< PseudoRandom >::path_type | path_type |
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typedef McSimulation< MultiVariate, PseudoRandom, Statistics >::stats_type | stats_type |
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typedef McSimulation< MultiVariate, PseudoRandom, Statistics >::path_pricer_type | path_pricer_type |
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typedef McSimulation< MultiVariate, PseudoRandom, Statistics >::path_generator_type | path_generator_type |
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typedef McSimulation< MultiVariate, PseudoRandom, Statistics >::path_generator_type | path_generator_type_calibration |
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typedef set_type::iterator | iterator |
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typedef MonteCarloModel< MultiVariate, PseudoRandom, Statistics >::path_generator_type | path_generator_type |
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typedef MonteCarloModel< MultiVariate, PseudoRandom, Statistics >::path_pricer_type | path_pricer_type |
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typedef MonteCarloModel< MultiVariate, PseudoRandom, Statistics >::stats_type | stats_type |
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typedef MonteCarloModel< MultiVariate, PseudoRandom, Statistics >::result_type | result_type |
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static Real | maxError (const Sequence &sequence) |
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ext::shared_ptr< StochasticProcess > | process_ |
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const Size | timeSteps_ |
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const Size | timeStepsPerYear_ |
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const bool | brownianBridge_ |
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const Size | requiredSamples_ |
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const Real | requiredTolerance_ |
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const Size | maxSamples_ |
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const BigNatural | seed_ |
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const Size | nCalibrationSamples_ |
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const bool | brownianBridgeCalibration_ |
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const bool | antitheticVariateCalibration_ |
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const BigNatural | seedCalibration_ |
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ext::shared_ptr< LongstaffSchwartzPathPricer< path_type > > | pathPricer_ |
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ext::shared_ptr< MonteCarloModel< MultiVariate, PseudoRandom, Statistics > > | mcModelCalibration_ |
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BasketOption::arguments | arguments_ |
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BasketOption::results | results_ |
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ext::shared_ptr< MonteCarloModel< MultiVariate, PseudoRandom, Statistics > > | mcModel_ |
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bool | antitheticVariate_ |
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bool | controlVariate_ |
template<class RNG = PseudoRandom>
class QuantLib::MCAmericanBasketEngine< RNG >
least-square Monte Carlo engine
- Warning
- This method is intrinsically weak for out-of-the-money options.