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Topic: Derivation of Ito Lemma
Replies: 12   Last Post: Feb 7, 2013 1:37 PM

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Registered: 2/23/10
Derivation of Ito Lemma
Posted: Sep 17, 2012 6:19 PM
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I'm looking at
where it says dB^2 tends to E(dB^2). I followed the link to the basic
properties for Wiener processes, but I can't find why dB^2 tends to
E(dB^2). I am guessing that it has to do with the limit as dt
approaches zero. The closest thing seems to be that the variance of a
Wiener process is t, but that's not quite the same thing. dB is a
sampling of a normal random variable, it is not a summary statistic.

For context, I am looking at the Ito Lemma for Geometric Brownian
motion (immediately above the Ito derivation link above). In the
second line, there is a -(1/2)(sigma^2)dt. This is a direct result of
the fact that the random variable dB^2 gets replaced by dt. It seems
to be a pivotal change, so I'd like to understand it.


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