Chapter 10: Problem 17
Show that standard Brownian motion is a Martingale.
Chapter 10: Problem 17
Show that standard Brownian motion is a Martingale.
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Get started for freeLet \(\\{N(t), t \geqslant 0\\}\) denote a Poisson process with rate \(\lambda\) and define \(Y(t)\) to be the time from \(t\) until the next Poisson event. (a) Argue that \(\\{Y(t), t \geqslant 0\\}\) is a stationary process. (b) Compute \(\operatorname{Cov}[Y(t), Y(t+s)]\).
Let \(\\{X(t), t \geqslant 0\\}\) be a Brownian motion process with drift
coefficient \(\mu\) and variance parameter \(\sigma^{2}\). What is the conditional
distribution of \(X(t)\) given that \(X(s)=c\) when
(a) \(s
Let \(\\{X(t),-\infty
Suppose you own one share of a stock whose price changes according to a standard Brownian motion process. Suppose that you purchased the stock at a price \(b+c\), \(c \geq 0\), and the present price is \(b\). You have decided to sell the stock either when it reaches the price \(b+c\) or when an additional time \(t\) goes by (whichever occurs first). What is the probability that you do not recover your purchase price?
Let \(\\{X(t),-\infty
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