It
would not be exaggerated to say that Itô's Lemma is one of the building blocks in
the stochastic analysis. Itô's Lemma is essentially the chain rule for
stochastic functions. The lemma is an
important part in valuing derivatives since a derivative is a function
of the price of the underlying and time. Changes in a variables, for example change in stock price, involve a
deterministic component which is a function of time and a stochastic component.
For
instance:
x is
the stock price at time t
dx
is the change in x over the interval of time dt.
dz
is the change in the random variable z over this interval of time is dz (stated
briefly, dz is a Wiener process).
The
change in stock price is:
dx=adt+bdz,
where
a and b are functions of x. The variable x has a drift a and standard deviation
b.
Under
the Itô's Lemma the function F of x and t follows the process (we denote here as partial
derivative; according to Wikipedia partial derivatice of a function of several variables is its derivative with respect to one of those variables, with the pthers held constant, as opposed to the total derivative, in which all variables are allowed to vary)
:
Looking
at perspective, applying the Itô's Lemma in valuing a forward contract on
shares:
So
we have:
This is the last post for 2015. I am wishing you an Ispiring New Year!
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