The simulation of exit times for diffusion processes is a challenging task since it concerns many applications in different fields like mathematical finance, neuroscience, reliability. . . The usual procedure is to use discretization schemes which unfortunately introduce some error in the target distribution. Our aim is to present a new algorithm which simulates exactly the exit time for onedimensional diffusions. This acceptance-rejection algorithm requires to simulate exactly the exit time of the Brownian motion on one side and the Brownian position at a given time, constrained not to have exit before, on the other side. Crucial tools in this study are the Girsanov transformation, the convergent series method for the simulation of random variables and the classical rejection sampling. The efficiency of the method is described through theoretical results and numerical examples.

Exact simulation of first exit times for one-dimensional diffusion processes

Herrmann, Samuel
;
Zucca, Cristina
2020

Abstract

The simulation of exit times for diffusion processes is a challenging task since it concerns many applications in different fields like mathematical finance, neuroscience, reliability. . . The usual procedure is to use discretization schemes which unfortunately introduce some error in the target distribution. Our aim is to present a new algorithm which simulates exactly the exit time for onedimensional diffusions. This acceptance-rejection algorithm requires to simulate exactly the exit time of the Brownian motion on one side and the Brownian position at a given time, constrained not to have exit before, on the other side. Crucial tools in this study are the Girsanov transformation, the convergent series method for the simulation of random variables and the classical rejection sampling. The efficiency of the method is described through theoretical results and numerical examples.
54
811
844
https://arxiv.org/abs/1905.04883
Exit time, Brownian motion, diffusion processes, Girsanov’s transformation, rejection sampling, exact simulation, randomized algorithm, conditioned Brownian motion.
Herrmann, Samuel; Zucca, Cristina
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/1736817
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