MCLongstaffSchwartzPathEngine< GenericEngine, MC, RNG, S > Class Template Referenceabstract

Longstaff-Schwarz Monte Carlo engine for early exercise options. More...

#include <ql/experimental/mcbasket/mclongstaffschwartzpathengine.hpp>

Inheritance diagram for MCLongstaffSchwartzPathEngine< GenericEngine, MC, RNG, S >:

Public Types

typedef MC< RNG >::path_type path_type
 
typedef McSimulation< MC, RNG,
S >::stats_type 
stats_type
 
typedef McSimulation< MC, RNG,
S >::path_pricer_type 
path_pricer_type
 
typedef McSimulation< MC, RNG,
S >::path_generator_type 
path_generator_type
 
- Public Types inherited from McSimulation< MC, RNG, S >
typedef MonteCarloModel< MC,
RNG, S >::path_generator_type 
path_generator_type
 
typedef MonteCarloModel< MC,
RNG, S >::path_pricer_type 
path_pricer_type
 
typedef MonteCarloModel< MC,
RNG, S >::stats_type 
stats_type
 
typedef MonteCarloModel< MC,
RNG, S >::result_type 
result_type
 

Public Member Functions

 MCLongstaffSchwartzPathEngine (const boost::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 >())
 
void calculate () const
 
- Public Member Functions inherited from GenericEngine< ArgumentsType, ResultsType >
PricingEngine::arguments * getArguments () const
 
const PricingEngine::results * getResults () const
 
void reset ()
 
void update ()
 
- Public Member Functions inherited from Observable
 Observable (const Observable &)
 
Observableoperator= (const Observable &)
 
void notifyObservers ()
 
- Public Member Functions inherited from Observer
 Observer (const Observer &)
 
Observeroperator= (const Observer &)
 
std::pair< std::set
< boost::shared_ptr
< Observable > >::iterator,
bool > 
registerWith (const boost::shared_ptr< Observable > &)
 
Size unregisterWith (const boost::shared_ptr< Observable > &)
 
void unregisterWithAll ()
 
- Public Member Functions inherited from McSimulation< MC, RNG, S >
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 (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

virtual boost::shared_ptr
< LongstaffSchwartzMultiPathPricer
lsmPathPricer () const =0
 
TimeGrid timeGrid () const
 
boost::shared_ptr
< path_pricer_type
pathPricer () const
 
boost::shared_ptr
< path_generator_type
pathGenerator () const
 
- Protected Member Functions inherited from McSimulation< MC, RNG, S >
 McSimulation (bool antitheticVariate, bool controlVariate)
 
virtual boost::shared_ptr
< path_pricer_type
controlPathPricer () const
 
virtual boost::shared_ptr
< path_generator_type
controlPathGenerator () const
 
virtual boost::shared_ptr
< PricingEngine
controlPricingEngine () const
 
virtual result_type controlVariateValue () const
 

Protected Attributes

boost::shared_ptr
< StochasticProcess
process_
 
const Size timeSteps_
 
const Size timeStepsPerYear_
 
const bool brownianBridge_
 
const Size requiredSamples_
 
const Real requiredTolerance_
 
const Size maxSamples_
 
const Size seed_
 
const Size nCalibrationSamples_
 
boost::shared_ptr
< LongstaffSchwartzMultiPathPricer
pathPricer_
 
- Protected Attributes inherited from GenericEngine< ArgumentsType, ResultsType >
ArgumentsType arguments_
 
ResultsType results_
 
- Protected Attributes inherited from McSimulation< MC, RNG, S >
boost::shared_ptr
< MonteCarloModel< MC, RNG, S > > 
mcModel_
 
bool antitheticVariate_
 
bool controlVariate_
 

Additional Inherited Members

- Static Protected Member Functions inherited from McSimulation< MC, RNG, S >
template<class Sequence >
static Real maxError (const Sequence &sequence)
 
static Real maxError (Real error)
 

Detailed Description

template<class GenericEngine, template< class > class MC, class RNG, class S = Statistics>
class QuantLib::MCLongstaffSchwartzPathEngine< GenericEngine, MC, RNG, S >

Longstaff-Schwarz Monte Carlo engine for early exercise options.

References:

Francis Longstaff, Eduardo Schwartz, 2001. Valuing American Options by Simulation: A Simple Least-Squares Approach, The Review of Financial Studies, Volume 14, No. 1, 113-147

Tests:
the correctness of the returned value is tested by reproducing results available in web/literature