Monte Carlo pricing engine for discrete geometric average price Asian. More...
#include <ql/pricingengines/asian/mc_discr_geom_av_price.hpp>
Public Member Functions | |
MCDiscreteGeometricAPEngine (const ext::shared_ptr< GeneralizedBlackScholesProcess > &process, bool brownianBridge, bool antitheticVariate, Size requiredSamples, Real requiredTolerance, Size maxSamples, BigNatural seed) | |
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MCDiscreteAveragingAsianEngine (const ext::shared_ptr< GeneralizedBlackScholesProcess > &process, bool brownianBridge, bool antitheticVariate, bool controlVariate, Size requiredSamples, Real requiredTolerance, Size maxSamples, BigNatural seed) | |
void | calculate () const |
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PricingEngine::arguments * | getArguments () const |
const PricingEngine::results * | getResults () const |
void | reset () |
void | update () |
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Observable (const Observable &) | |
Observable & | operator= (const Observable &) |
void | notifyObservers () |
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Observer (const Observer &) | |
Observer & | operator= (const Observer &) |
std::pair< iterator, bool > | registerWith (const ext::shared_ptr< Observable > &) |
void | registerWithObservables (const ext::shared_ptr< Observer > &) |
Size | unregisterWith (const ext::shared_ptr< Observable > &) |
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 | |
result_type | valueWithSamples (Size samples) const |
simulate a fixed number of samples | |
result_type | errorEstimate () const |
error estimated using the samples simulated so far | |
const stats_type & | sampleAccumulator () const |
access to the sample accumulator for richer statistics | |
void | calculate (Real requiredTolerance, Size requiredSamples, Size maxSamples) const |
basic calculate method provided to inherited pricing engines | |
Protected Member Functions | |
ext::shared_ptr< path_pricer_type > | pathPricer () const |
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TimeGrid | timeGrid () const |
ext::shared_ptr< path_generator_type > | pathGenerator () const |
Real | controlVariateValue () const |
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McSimulation (bool antitheticVariate, bool controlVariate) | |
virtual ext::shared_ptr< path_pricer_type > | controlPathPricer () const |
virtual ext::shared_ptr< path_generator_type > | controlPathGenerator () const |
virtual ext::shared_ptr< PricingEngine > | controlPricingEngine () const |
Additional Inherited Members | |
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static Real | maxError (const Sequence &sequence) |
static Real | maxError (Real error) |
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ext::shared_ptr< GeneralizedBlackScholesProcess > | process_ |
Size | requiredSamples_ |
Size | maxSamples_ |
Real | requiredTolerance_ |
bool | brownianBridge_ |
BigNatural | seed_ |
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DiscreteAveragingAsianOption::arguments | arguments_ |
DiscreteAveragingAsianOption::results | results_ |
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ext::shared_ptr< MonteCarloModel< SingleVariate, PseudoRandom, Statistics > > | mcModel_ |
bool | antitheticVariate_ |
bool | controlVariate_ |
Monte Carlo pricing engine for discrete geometric average price Asian.