1. Consider a stock and assume it follows a geometric Brownian motion dS = µdt+σdz. Consider now a function G = G(S, t).
i) Use Itˆo’s lemma to find the stochastic process dG followed by G.
ii) Use Itˆo’s lemma to find the stochastic process followed by G(S) = ln S.
1) Following equations can be written as:
a) d(G) =[{(dG/dS)*dS} + {(dG/dt)*dt}]
b) dG =(µ-σ^2/2)dx + σdy
1. Consider a stock and assume it follows a geometric Brownian motion dS = µdt+σdz. Consider...
PROBLEM 2. [5 points] Let X(t) be a Brownian motion. Assume that the stock price follows the stochastic differential equation dS ơSdX+1Sdt. what stochastic differential equation does the stochastic process (a) Y 25, (b) Y = S (c) Y-es, (d) YeT-/S follow? In each cases express the coefficients of dX and dt in terms of Y rather than S. Use Ito's lemma PROBLEM 2. [5 points] Let X(t) be a Brownian motion. Assume that the stock price follows the stochastic...
If s follows the geometric Brownian motion process ds - S dt+oS dz what is the process followed by (a) y = 2S, (b) y S 5. If s follows the geometric Brownian motion process ds - S dt+oS dz what is the process followed by (a) y = 2S, (b) y S 5.
If s follows the geometric Brownian motion process ds - S dt+oS dz what is the process followed by (a) y = 2S, (b) y S 5.
Assume an asset price St follows the geometric Brownian motion, dSt = u Stdt+oS+dZt, So =s > 0 where u and o are constants, r is the risk-free rate, and Zt is the Brownian motion. 1. Using the Ito's Lemma find to the stochastic differential equation satisfied by the process X+ = St. 2. Compute E[Xt] and Var[Xt]. 3. Using the Ito's Lemma find the stochastic differential equation satisfied by the process Y1 = Sert'. 4. Compute E[Y] and Var[Y].
2. Solving the generalized geometric Brownian motion equation. Let S(t) be a positive stochastic process that satisfies the generalized geometric Brownian motion SDE dS(t) = u(t)S(t) dt + o(t)S(t) dW(t), where u(t) and o(t) are processes adapted to the filtration Ft, t > 0. (a) Use Itô’s lemma to compute d log S(t). Simplify so that you have a formula for d log S(t) that does not involve S(t). (b) Integrate the formula you obtained in (a), and then exponentiate...
3. Assume a stock price follows a lognormal Brownian motion, i.e. its price satisfies So eo) where W(t) is standard Brownian motion, So-$265, ơ 18%. Calculate the probability that in 20 days 22), or less, the stock price reaches the value H 275, i.e. calculate Prob. max St > 275
Let S(t), t >=0 be a Geometric Brownian motion process with drift mu = 0.1 and volatility sigma = 0.2. Find P(S(2) >S(1) > S(0))
Consider a market with X W, where W is a Brownian motion process. Define the trading strategy (Vo. ) by vo 1, ,2W Find Gr(p) Select one: WA-T 2WT W2+T Consider a market with X W, where W is a Brownian motion process. Define the trading strategy (Vo. ) by vo 1, ,2W Find Gr(p) Select one: WA-T 2WT W2+T
0.2. The time-t price of a stock is s(t). You are given: (1) A stock's price follows geometric Brownian motion with a = 0.01 and (ii) S(O)= 40. Calculate Pr(40<S(5) < 50).
You own one share of a stock. The price is 10. The stock price changes according to a geometric Brownian motion process, with time measured in months and coefficients µ=.1 σ= 2. Calculate the probability that: a. The stock price is at least 20 in one year. b. The stock reaches the price of 20 before it drops to 5. c. You will be able to sell the stock at 20 in a year if the price at the end...