Exponential Martingales and Time integrals of Brownian Motion

Victor Goodman and Kyounghee Kim

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Abstract: We find a simple expression for the probability density of $\int \exp (B_s - s/2) ds$ in terms of its distribution function and the distribution function for the time integral of $\exp (B_s + s/2)$. The relation is obtained with a change of measure argument where expectations over events determined by the time integral are replaced by expectations over the entire probability space. We develop precise information concerning the lower tail probabilities for these random variables as well as for time integrals of geometric Brownian motion with arbitrary constant drift. In particular, $E[ \exp\big(\theta / \int \exp (B_s)ds\big) ]$ is finite iff $\theta

Date: 2006-12, Revised 2007-01
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