A Geometric Brownian motion (GBM) is used to model a stock price: dS(t) = S(t)(bdt + dWt).
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Question:
A Geometric Brownian motion (GBM) is used to model a stock price: dS(t) = S(t)(bdt + σdWt). In the above, b and σ are termed as the drift and the volatility of the underlying stock.
Required
(1) Derive the explicit formula of S(t) in the above using Ito’s lemma. Also find a formula of t for the mean and variance of S(t).
(2) If a stock price follows S(t) = 100 exp{0.03t + 0.1Wt}, where Wt. is a BM. What is its drift and volatility?
(3) Write a Matlab code to do the following jobs: (1) Plot 100 paths; (2) compute its mean and variance of S(1).
Related Book For
An Introduction to the Mathematics of Financial Derivatives
ISBN: 978-0123846822
3rd edition
Authors: Ali Hirsa, Salih N. Neftci
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