Questions tagged [stochastic-calculus]

Questions about stochastic calculus in Mathematica, for example how to use ItoProcess and RandomFunction.

19 questions with no upvoted or accepted answers
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Stochastic Schrödinger Equation

I have a stochastic coupled Schrödinger equation to solve. $$i\frac{\mathrm d X_k(t)}{\mathrm dt}=-\left(x_{k+1}(t)+x_{k-1}(t)\right)+V_k x_k(t)+\eta_k t x_k(t)$$ where $\left\langle\eta_k(t)\eta_j(...
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285 views

Solve ItoProcess SDE

I specified a SDE for a random process $y(t)$ using ItoProcess is there a mathematica function that provides the analytic solution for $y(t)$? I know ...
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274 views

Malliavin Derivative with Mathematica is it possible?

Is it possible to define a Malliavin calculus with Mathematica 9? Consider a random variables on the Wiener-space $\Omega=\mathcal{C}([0,1])$ of the form $$F=F(\omega)=\displaystyle\int_{0}^{T}h_{t}...
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34 views

Monitoring time step manually within RandomFunction

Consider the following stochastic differential equation ...
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30 views

Simulating Stochastic Matrix Differential Equation with Arbitrary Autocorrelation Function

I want to numerically simulate a matrix differential equation that includes a stochastic (vector) Gaussian noise $\mathbf{n}$, where the different vector components are independent, and each component ...
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49 views

How to apply TransformedProcess to a user defined ItoProcess?

Hi I would like to manipulate user defined Ito processes, say multiply my process by a deterministic function . Thanks in advance ...
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55 views

How to simulate two coupled birth-death-immigration processes?

I am simulating a birth-death-immigration process for two coupled populations that interact by virtue of the birth-rate in one population being equal to the death-rate in the other population. The two ...
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101 views

An Ito process with intermediate constraints

I have a controlled stochastic process described by $\dot{x} = X(x) + u(t) + \eta_x(t),$ where $u$ is the control, $\eta_x$ is a white noise with zero mean. The equation is called Langevin equation. ...
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62 views

Dealing with Vector Outputs from ItoProcess, RandomProcess (Stochastic Differential Equations)

I'm modeling stochastic chemical kinetics and the ItoProcess[] function has served me well. I am trying to write an efficient code to analyze many (Paths) trajectories of several different reagents (...
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84 views

ItoProcess with log

I would like to use ItoProcess to simulate some paths of $r(t)$, a process that follows the sde $$d\ln\left(r\left(t\right)\right)=\left(\theta-\ln\left(r(t)\right)\...
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214 views

How to make a parameter stochastic in a differential equation system with NDSolve?

I constructed the differential equation system below, which I solved using NDSolve. Now I need one parameter ($mu$) to be stochastic, e.g. Poisson distributed around a mean and changing slightly at ...
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241 views

Simulations with MonteCarlo and Autoregressive methods

I am trying to find the best-fit trend for my data. Here I just generated it but let's say I don't know my data trend at all. ...
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84 views

Changing GeometricBrownianMotionProcess function

Since the function GeometricBrownianMotionProcess is given by Mathematica I have some technical questions. If we consider the following example: ...
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19 views

Puzzling behavior of ItoProcess with Abs

Hi I am simulating a Fisher-Wright diffusion, it works ...
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126 views
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133 views

How to generate a fractional Brownian motion?

In Mathematica 9.0 I run the following piece of code: ...
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168 views

Estimate parameters of two correlated geometric Brownian motions

I would like estimate the parameters of the following set of Geometric Brownian Motions: $d P(t) = \mu_P P(t) d t + \sigma_P P(t) d Z_P(t)$ $d X(t) = \mu_X X(t) d t + \sigma_X X(t) d Z_X(t)$ ...
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348 views

Differential equation with random variable

How can I derive analytically or compute numerically the solution to following differential equation $$ dy/dt = y\cdot X\cdot (y\cdot X - g(y,X))\cdot X $$ where X is a random variable (e.g. from a ...
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288 views

Time series (stochastic process) estimating parameters using characteristic function

I have a time series of assets ${A_1, A_2, ..., A_n}$, which is described by a sophisticated distribution having the following characteristic function: $\phi(u; t;\theta)$, where $\theta$ is a vector ...