An Itô process is a function of both time and a Brownian motion.
It is a stochastic process of the form
where and are adapted processes such that the integrals are defined. (An Itô process is always adapted.)
is the drift term, is the diffusion term (volatility).
An Itô process is thus the sum of an ordinary integral (w.r.t. time) and a stochastic integral (w.r.t. BM).
As an abbreviation, we can write it as an SDE:
An Itô process may be thought of as a Brownian motion with stochastic drift and volatility. (The martingale and markov property generally do not hold.)
See also: Ito’s lemma
Examples
Brownian motion
The standard BM is an Itô process. (Pick and .)
So is the general BM with (constant) drift (and constant volatility)
where and . (Pick and .)
The square of the Brownian motion
is an Itô process with and .
If is an Itô process, then so is where is any function which is continuously differentiable in and twice continuously differentiable in . This is a special case of Itô’s lemma where .
No diffusion
With , the process
is an Itô process where is an adapted process.
This gives stochastic processes whose paths are differentiable but the derivatives are stochastic.
A concrete example is , the average value of the Brownian motion up to time .
No drift
If , then
is a martingale with an arbitrary (but fixed) starting point.