QuantLib_StochasticProcess man page

StochasticProcess — multi-dimensional stochastic process class.

Synopsis

#include <ql/stochasticprocess.hpp>

Inherits Observer, and Observable.

Inherited by ExtOUWithJumpsProcess, ForwardMeasureProcess, G2Process, GJRGARCHProcess, HestonProcess, HestonSLVProcess, HybridHestonHullWhiteProcess, JointStochasticProcess, KlugeExtOUProcess, LiborForwardModelProcess, StochasticProcess1D, and StochasticProcessArray.

Classes

class discretization
discretization of a stochastic process over a given time interval

Public Member Functions

Stochastic process interface

virtual Size size () const =0
returns the number of dimensions of the stochastic process
virtual Size factors () const
returns the number of independent factors of the process
virtual Disposable< Array > initialValues () const =0
returns the initial values of the state variables
virtual Disposable< Array > drift (Time t, const Array &x) const =0
returns the drift part of the equation, i.e., $ mu(t, mathrm{x}_t) $
virtual Disposable< Matrix > diffusion (Time t, const Array &x) const =0
returns the diffusion part of the equation, i.e. $ sigma(t, mathrm{x}_t) $
virtual Disposable< Array > expectation (Time t0, const Array &x0, Time dt) const

virtual Disposable< Matrix > stdDeviation (Time t0, const Array &x0, Time dt) const

virtual Disposable< Matrix > covariance (Time t0, const Array &x0, Time dt) const

virtual Disposable< Array > evolve (Time t0, const Array &x0, Time dt, const Array &dw) const

virtual Disposable< Array > apply (const Array &x0, const Array &dx) const

utilities

virtual Time time (const Date &) const

Observer interface

void update ()

Protected Member Functions

StochasticProcess (const boost::shared_ptr< discretization > &)

Protected Attributes

boost::shared_ptr< discretization > discretization_

Additional Inherited Members

Detailed Description

multi-dimensional stochastic process class.

This class describes a stochastic process governed by [ dmathrm{x}_t = mu(t, x_t)mathrm{d}t + sigma(t, mathrm{x}_t) cdot dmathrm{W}_t. ]

Member Function Documentation

virtual Disposable<Array> expectation (Time t0, const Array & x0, Time dt) const [virtual]

returns the expectation $ E(mathrm{x}_{t_0 + Delta t} | mathrm{x}_{t_0} = mathrm{x}_0) $ of the process after a time interval $ Delta t $ according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.

Reimplemented in G2ForwardProcess, StochasticProcessArray, and G2Process.

virtual Disposable<Matrix> stdDeviation (Time t0, const Array & x0, Time dt) const [virtual]

returns the standard deviation $ S(mathrm{x}_{t_0 + Delta t} | mathrm{x}_{t_0} = mathrm{x}_0) $ of the process after a time interval $ Delta t $ according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.

Reimplemented in G2ForwardProcess, StochasticProcessArray, and G2Process.

virtual Disposable<Matrix> covariance (Time t0, const Array & x0, Time dt) const [virtual]

returns the covariance $ V(mathrm{x}_{t_0 + Delta t} | mathrm{x}_{t_0} = mathrm{x}_0) $ of the process after a time interval $ Delta t $ according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.

Reimplemented in G2ForwardProcess, LiborForwardModelProcess, StochasticProcessArray, and G2Process.

virtual Disposable<Array> evolve (Time t0, const Array & x0, Time dt, const Array & dw) const [virtual]

returns the asset value after a time interval $ Delta t $ according to the given discretization. By default, it returns [ E(mathrm{x}_0,t_0,Delta t) + S(mathrm{x}_0,t_0,Delta t) cdot Delta mathrm{w} ] where $ E $ is the expectation and $ S $ the standard deviation.

Reimplemented in GJRGARCHProcess, HestonProcess, ExtOUWithJumpsProcess, LiborForwardModelProcess, KlugeExtOUProcess, BatesProcess, HybridHestonHullWhiteProcess, and StochasticProcessArray.

virtual Disposable<Array> apply (const Array & x0, const Array & dx) const [virtual]

applies a change to the asset value. By default, it returns $ mathrm{x} + Delta mathrm{x} $.

Reimplemented in GJRGARCHProcess, HestonProcess, LiborForwardModelProcess, HybridHestonHullWhiteProcess, and StochasticProcessArray.

virtual Time time (const Date &) const [virtual]

returns the time value corresponding to the given date in the reference system of the stochastic process.

Note:

As a number of processes might not need this functionality, a default implementation is given which raises an exception.

Reimplemented in GJRGARCHProcess, HestonProcess, GeneralizedBlackScholesProcess, HybridHestonHullWhiteProcess, Merton76Process, StochasticProcessArray, and GsrProcess.

void update () [virtual]

This method must be implemented in derived classes. An instance of Observer does not call this method directly: instead, it will be called by the observables the instance registered with when they need to notify any changes.

Implements Observer.

Author

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Referenced By

StochasticProcess(3) is an alias of QuantLib_StochasticProcess(3).

Fri Sep 23 2016 Version 1.8.1 QuantLib