StochasticProcess1D Class Reference
#include <ql/stochasticprocess.hpp>

Detailed Description
1-dimensional stochastic processThis class describes a stochastic process governed by
Public Member Functions | |
1-D stochastic process interface | |
virtual Real | x0 () const =0 |
returns the initial value of the state variable | |
virtual Real | drift (Time t, Real x) const =0 |
returns the drift part of the equation, i.e. ![]() | |
virtual Real | diffusion (Time t, Real x) const =0 |
returns the diffusion part of the equation, i.e. ![]() | |
virtual Real | expectation (Time t0, Real x0, Time dt) const |
virtual Real | stdDeviation (Time t0, Real x0, Time dt) const |
virtual Real | variance (Time t0, Real x0, Time dt) const |
virtual Real | evolve (Time t0, Real x0, Time dt, Real dw) const |
virtual Real | apply (Real x0, Real dx) const |
Protected Member Functions | |
StochasticProcess1D (const boost::shared_ptr< discretization > &) | |
Protected Attributes | |
boost::shared_ptr< discretization > | discretization_ |
Classes | |
class | discretization |
discretization of a 1-D stochastic process More... |
Member Function Documentation
returns the expectation of the process after a time interval
according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.
Reimplemented in HullWhiteProcess, HullWhiteForwardProcess, and OrnsteinUhlenbeckProcess.
returns the standard deviation of the process after a time interval
according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.
Reimplemented in HullWhiteProcess, HullWhiteForwardProcess, and OrnsteinUhlenbeckProcess.
returns the variance of the process after a time interval
according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.
Reimplemented in HullWhiteProcess, HullWhiteForwardProcess, and OrnsteinUhlenbeckProcess.
returns the asset value after a time interval according to the given discretization. By default, it returns
where is the expectation and
the standard deviation.
applies a change to the asset value. By default, it returns .
Reimplemented in GeneralizedBlackScholesProcess, and Merton76Process.