Chapter 20 Brownian Motion + Ito's lemma Flashcards
What are the four properties of brownian motion
- Z(0) = 0
- Z(t+s) - Z(t) Follows N(0, s)
- non-overlapping intervals are independent
- it’s continuous
Martingale definition
E(Z(t+s)|Z(t)) = Z(t)
The change in the value of brownian motion dZ(t) is
Y(t) * sqrt(dt) where Y(t) is +- 1 with prob .5
Brownian motion will cross its starting point x times during a finite interval. X is
infinity
The quadratic version of Brownian Motion or any higher order version of Brownian Motion is
Constant, T for the quadratic version
Arithmetic Brownian Motion is
is brownian motion with a drift coeffiecient (mean) of At and variance of sigma
Written At + sigma * z(t)
written with integrals Brownian motion at time T, Z(T) is
Z(0) + integral from 0 to T of dZ(t)
Ornstein- Uhlenbeck Process
Arithmetic Brownian Motion with mean reversion. The mean term is lamda(Alpha - X(t)) lamda measures speed of mean reversion.
When determining brownian motion over short time periods, the mean is BLANK while the SD is BLANK. Over long periods this is BLANK
less important, more important, reversed.
Due to the fact that sd relies on root h, while mean relies on h`
two assets with the same dz have the BLANK sharpe ration
same
prepaid forward of claim that pays S(t)^a
e^(-rt) * e^(a(r - delta - 0.5sigma^2)t + 0.5 * sigma^2 * a^2 * t)
Ito’s Lemma
dC(s, t) = [(a - delta)S(dC/dS) + (0.5)sigma^2s^2(d2C/dS2) + C]dt + sigmaS(dc/ds)dZ