If (X_{t} sim Nleft(0, sigma^{2} t ight)) and (Y_{t}=e^{X_{t}}), calculate the pdf of (Y_{t}). Calculate (mathbf{E}left[Y_{t} ight])
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If \(X_{t} \sim N\left(0, \sigma^{2} t\right)\) and \(Y_{t}=e^{X_{t}}\), calculate the pdf of \(Y_{t}\). Calculate \(\mathbf{E}\left[Y_{t}\right]\) and \(V\left(Y_{t}\right)\). Calculate the transition probability
\[\mathbf{P}\left(Y_{t}=y \mid Y_{t_{0}}=y_{0}\right)\]
and give the density of this transition probability.
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Related Book For
Quantitative Finance
ISBN: 9781118629956
1st Edition
Authors: Maria Cristina Mariani, Ionut Florescu
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