Let W - {Wi,0< t < ) represent a standard Brownian motion Show that the process...
We consider a Standard Brownian Motion W={Wt,t>=o}, show that for s<t, Ws|Wt=x the conditional distribution of the process given a future valueWt=x We consider a standard Brownian motion W W,t20) Show that for s < t, W /Wt-x the conditional distribution of the process given a future value Wi is given by the following Normal distribution:
(1) For the standard Brownian motion, (W(t),t2 0], what is the expected first passage time, E(ta), for a > 0, where ta-inf{t : W(t) 2 a]? The following "answers" have been proposed (b) a/2. (c) a (d) 2a (e) None of the above. The correct answer is
Help please! Let Be be Brownian motion and fix to > 0. Prove that By: = Bto+t - Blo; t o is a Brownian motion.
8.2. Let W()-X(at)la for a >0. Verify that W(t is also Brownian motion
3. Let W(t be standard Brownian motion and let to > 0. Consider the random variable Min(to) min{W(s) 0 s< to}. Compute the cumulative distribution function of Min(to) 3. Let W(t be standard Brownian motion and let to > 0. Consider the random variable Min(to) min{W(s) 0 s
{ W, : t > 0} be a Brownian motion. Find E(W, (W2t --We), where 0 < t < 1: Let W Select one: t (1 -t) 0 { W, : t > 0} be a Brownian motion. Find E(W, (W2t --We), where 0
8.2. Let W()-X(at)la for a >0. Verify that W(t is also Brownian motion 8.2. Let W()-X(at)la for a >0. Verify that W(t is also Brownian motion
5. Let (S2,F,P) be a probability space and let {W(t),t 2 0) be Brownian mo- tion with respect to the filtration Ft, t 2 0. By considering the geometric Brownian motion where Q R, σ > 0, S(0) > 0. Show that for any Borel-measurable function f(y), and for any 0 〈 8くthe function 2 2 g(x) =| f(y) da 0 satisfies Ef(S(t))F (s)-g(S(s)), and hence S(t) has a Markov property. We may write qlx as q We may write...
t2s points). Let B(t) be Brownian motion and let zu) with drift u0. For any B()+ ut be Brownian motion t 0, let T be the first time Z(t) hits a. a) Show that T, is a random time for Z(t) and for B(t). b) Show P(T, 0o)1. c) Use martingale methods to compute E [e-m] for any θ > 0 r> t2s points). Let B(t) be Brownian motion and let zu) with drift u0. For any B()+ ut be...
Let X-(Xt ,0 < t < 1} be an arithmetic Brownian motion starting from 0 with drift parameter μ-0.2 and variance parameter ơ2-0.125. 1. Calculate the probability that X2 is between 0.1 and 0.5 2. Given that X 0.6, find the probability that X2 is between 0.1 and 0.5 3. Given that Xi- 0.2, find the covariance between X2 and X3