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Drift and Diffusion Models


Because base-level SDE objects accept drift and diffusion objects in lieu of functions accessible by (t, Xt), you can create SDE objects with combinations of customized drift or diffusion functions and objects. The drift anddiffusion rate classes encapsulate the details of input parameters to optimize run-time efficiency for any given combination of input parameters.

Although drift and diffusion objects differ in the details of their representation, they are identical in their basic implementation and interface. They look, feel like, and are evaluated as functions:

  • The drift class allows you to create drift-rate objects of the form:



    • A is an NVARS-by-1 vector-valued function accessible using the (t, Xt) interface.

    • B is an NVARS-by-NVARS matrix-valued function accessible using the (t, Xt) interface.

  • Similarly, the diffusion class allows you to create diffusion-rate objects:



    • D is an NVARS-by-NVARS diagonal matrix-valued function.

    • Each diagonal element of D is the corresponding element of the state vector raised to the corresponding element of an exponent Alpha, which is an NVARS-by-1 vector-valued function.

    • V is an NVARS-by-NBROWNS matrix-valued volatility rate function Sigma.

    • Alpha and Sigma are also accessible using the (t, Xt) interface.


    You can express drift and diffusion classes in the most general form to emphasize the functional (t, Xt) interface. However, you can specify the components A and B as functions that adhere to the common (t, Xt) interface, or as MATLAB® arrays of appropriate dimension.

Example: Drift and Diffusion Rates

In this example, you create drift and diffusion rate objects using the drift and diffusion constructors to create the same model as in Example: Base SDE Models.

Create a drift-rate function F and a diffusion-rate function G:

F = drift(0, 0.1)      % Drift rate function F(t,X)
F = 
   Class DRIFT: Drift Rate Specification  
      Rate: drift rate function F(t,X(t)) 
         A: 0
         B: 0.1
G = diffusion(1, 0.3)  % Diffusion rate function G(t,X)
G = 
   Class DIFFUSION: Diffusion Rate Specification 
       Rate: diffusion rate function G(t,X(t))  
      Alpha: 1
      Sigma: 0.3

Each object displays like a MATLAB structure and contains supplemental information, namely, the object's class and a brief description. However, in contrast to the SDE representation, a summary of the dimensionality of the model does not appear, because drift and diffusion classes create model components rather than models. Neither F nor G contains enough information to characterize the dimensionality of a problem.

The drift object's displayed parameters are:

  • Rate: The drift-rate function, F(t,Xt)

  • A: The intercept term, A(t,Xt), of F(t,Xt)

  • B: The first order term, B(t,Xt), of F(t,Xt)

A and B enable you to query the original inputs. The function stored in Rate fully encapsulates the combined effect of A and B.

The diffusion object's displayed parameters are:

  • Rate: The diffusion-rate function, G(t,Xt).

  • Alpha: The state vector exponent, which determines the format of D(t,Xt) of G(t,Xt).

  • Sigma: The volatility rate, V(t,Xt), of G(t,Xt).

Again, Alpha and Sigma enable you to query the original inputs. (The combined effect of the individual Alpha and Sigma parameters is fully encapsulated by the function stored in Rate.) The Rate functions are the calculation engines for the drift and diffusion objects, and are the only parameters required for simulation.

Example: SDEDDO Models

The sdeddo class derives from the basesde class. To use this class, you must pass drift and diffusion-rate objects to the sdeddo constructor.

  1. Create drift and diffusion rate objects using the drift and diffusion constructors:

    F = drift(0, 0.1);      % Drift rate function F(t,X)
    G = diffusion(1, 0.3);  % Diffusion rate function G(t,X)
  2. Pass these objects to the sdeddo constructor:

    obj = sdeddo(F, G)      % dX = F(t,X)dt + G(t,X)dW
    obj = 
       Class SDEDDO: SDE from Drift and Diffusion Objects
         Dimensions: State = 1, Brownian = 1
          StartTime: 0
         StartState: 1
        Correlation: 1
              Drift: drift rate function F(t,X(t)) 
          Diffusion: diffusion rate function G(t,X(t)) 
         Simulation: simulation method/function simByEuler
                  A: 0
                  B: 0.1
              Alpha: 1
              Sigma: 0.3

    In this example, the object displays the additional parameters associated with input drift and diffusion objects.

See Also

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