QuantLib: a free/open-source library for quantitative finance
Reference manual - version 1.40
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LossDistMonteCarlo Class Reference

Loss distribution with Monte Carlo simulation. More...

#include <ql/experimental/credit/lossdistribution.hpp>

Inheritance diagram for LossDistMonteCarlo:

Public Member Functions

 LossDistMonteCarlo (Size nBuckets, Real maximum, Size simulations, long seed=42, Real epsilon=1e-6)
Distribution operator() (const std::vector< Real > &volumes, const std::vector< Real > &probabilities) const override
Size buckets () const override
Real maximum () const override

Additional Inherited Members

Static Public Member Functions inherited from LossDist
static Real binomialProbabilityOfNEvents (int n, std::vector< Real > &p)
static Real binomialProbabilityOfAtLeastNEvents (int n, std::vector< Real > &p)
static std::vector< RealprobabilityOfNEvents (std::vector< Real > &p)
static Real probabilityOfNEvents (int n, std::vector< Real > &p)
static Real probabilityOfAtLeastNEvents (int n, std::vector< Real > &p)

Detailed Description

Loss distribution with Monte Carlo simulation.

Loss distribution for varying volumes and probabilities of default via Monte Carlo simulation of independent default events.

Member Function Documentation

◆ operator()()

Distribution operator() ( const std::vector< Real > & volumes,
const std::vector< Real > & probabilities ) const
overridevirtual

Implements LossDist.

◆ buckets()

Size buckets ( ) const
overridevirtual

Implements LossDist.

◆ maximum()

Real maximum ( ) const
overridevirtual

Implements LossDist.