McSimulation Class Template Reference

#include <ql/PricingEngines/mcsimulation.hpp>

Inheritance diagram for McSimulation:

Inheritance graph
[legend]
List of all members.

Detailed Description

template<class MC, class S = Statistics>
class QuantLib::McSimulation< MC, S >

base class for Monte Carlo engines

Eventually this class might offer greeks methods. Deriving a class from McSimulation gives an easy way to write a Monte Carlo engine.

See McVanillaEngine as an example.


Public Types

typedef MonteCarloModel< MC,
S >::path_generator_type 
path_generator_type
typedef MonteCarloModel< MC,
S >::path_pricer_type 
path_pricer_type
typedef MonteCarloModel< MC,
S >::stats_type 
stats_type

Public Member Functions

Real value (Real tolerance, Size maxSamples=QL_MAX_INTEGER, Size minSamples=1023) const
 add samples until the required absolute tolerance is reached
Real valueWithSamples (Size samples) const
 simulate a fixed number of samples
Real errorEstimate () const
 error estimated using the samples simulated so far
const stats_type & sampleAccumulator (void) 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

 McSimulation (bool antitheticVariate, bool controlVariate)
virtual boost::shared_ptr<
path_pricer_type > 
pathPricer () const=0
virtual boost::shared_ptr<
path_generator_type > 
pathGenerator () const=0
virtual TimeGrid timeGrid () const=0
virtual boost::shared_ptr<
path_pricer_type > 
controlPathPricer () const
virtual boost::shared_ptr<
PricingEngine
controlPricingEngine () const
virtual Real controlVariateValue () const

Protected Attributes

boost::shared_ptr< MonteCarloModel<
MC, S > > 
mcModel_
bool antitheticVariate_
bool controlVariate_