StochasticProcessArray Class Reference
[Stochastic processes]
#include <ql/processes/stochasticprocessarray.hpp>
Inheritance diagram for StochasticProcessArray:

Detailed Description
Array of correlated 1-D stochastic processes
Public Member Functions | |
StochasticProcessArray (const std::vector< boost::shared_ptr< StochasticProcess1D > > &, const Matrix &correlation) | |
Size | size () const |
returns the number of dimensions of the stochastic process | |
Disposable< Array > | initialValues () const |
returns the initial values of the state variables | |
Disposable< Array > | drift (Time t, const Array &x) const |
returns the drift part of the equation, i.e., ![]() | |
Disposable< Array > | expectation (Time t0, const Array &x0, Time dt) const |
Disposable< Matrix > | diffusion (Time t, const Array &x) const |
returns the diffusion part of the equation, i.e. ![]() | |
Disposable< Matrix > | covariance (Time t0, const Array &x0, Time dt) const |
Disposable< Matrix > | stdDeviation (Time t0, const Array &x0, Time dt) const |
Disposable< Array > | apply (const Array &x0, const Array &dx) const |
Disposable< Array > | evolve (Time t0, const Array &x0, Time dt, const Array &dw) const |
Time | time (const Date &) const |
const boost::shared_ptr< StochasticProcess1D > & | process (Size i) const |
Disposable< Matrix > | correlation () const |
Protected Attributes | |
std::vector< boost::shared_ptr< StochasticProcess1D > > | processes_ |
Matrix | sqrtCorrelation_ |
Member Function Documentation
Disposable<Array> expectation | ( | Time | t0, | |
const Array & | x0, | |||
Time | dt | |||
) | const [virtual] |
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 from StochasticProcess.
Disposable<Matrix> covariance | ( | Time | t0, | |
const Array & | x0, | |||
Time | dt | |||
) | const [virtual] |
returns the covariance 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 from StochasticProcess.
Disposable<Matrix> stdDeviation | ( | Time | t0, | |
const Array & | x0, | |||
Time | dt | |||
) | const [virtual] |
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 from StochasticProcess.
Disposable<Array> apply | ( | const Array & | x0, | |
const Array & | dx | |||
) | const [virtual] |
applies a change to the asset value. By default, it returns .
Reimplemented from StochasticProcess.
Disposable<Array> evolve | ( | Time | t0, | |
const Array & | x0, | |||
Time | dt, | |||
const Array & | dw | |||
) | const [virtual] |
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.
Reimplemented from StochasticProcess.
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 from StochasticProcess.