Wiener process 227
Norbert Wiener, 1920:
W
is a t
Wiener process,
i.p.
W
t
is a random (stochastic)
real-valued continuous fu
nction (process) on [0,
) such that:
W
t=0
= 0,
dW
= Wt
t+dt
-W
~ N(0,dt), andt
if the intervals [t1, t2] and [u1, u2] do
not
overlap, then the increments dW
= Wt
t2
W
t1
and dW
u
= W
u2
-W
u1
are independent!
One realization of a Wiener process
Some implied properties
W is nowhere differentiable
due to its jaggedness which is a result of the
independent increments
Since each increment of
W is normal distributed
W itself is normal distributed
Derivative securities: Options - Black-Scholes model