Let (X_{t}) be the geometric Brownian motion given by the stochastic differential equation [d X_{t}=r X_{t} d
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Let \(X_{t}\) be the geometric Brownian motion given by the stochastic differential equation
\[d X_{t}=r X_{t} d t+\sigma X_{t} d W_{t}\]
a) Compute the Euler discretization \(\left(\widehat{X}_{t_{k}}^{N}\right)_{k=0,1, \ldots, N}\) of \(\left(X_{t}\right)_{t \in \mathbb{R}_{+}}\).
b) Compute the Milshtein discretization \(\left(\widehat{X}_{t_{k}}^{N}\right)_{k=0,1, \ldots, N}\) of \(\left(X_{t}\right)_{t \in \mathbb{R}_{+}}\).
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Related Book For
Introduction To Stochastic Finance With Market Examples
ISBN: 9781032288277
2nd Edition
Authors: Nicolas Privault
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