Abstract
This chapter develops methods for simulating paths of a variety of stochastic processes important in financial engineering. The emphasis in this chapter is on methods for exact simulation of continuous-time processes at a discrete set of dates. The methods are exact in the sense that the joint distribution of the simulated values coincides with the joint distribution of the continuous-time process on the simulation time grid. Exact methods rely on special features of a model and are generally available only for models that offer some tractability. More complex models must ordinarily be simulated through, e.g., discretization of stochastic differential equations, as discussed in Chapter 6.
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© 2004 Springer Science+Business Media New York
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Glasserman, P. (2004). Generating Sample Paths. In: Monte Carlo Methods in Financial Engineering. Stochastic Modelling and Applied Probability, vol 53. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21617-1_3
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DOI: https://doi.org/10.1007/978-0-387-21617-1_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-1822-2
Online ISBN: 978-0-387-21617-1
eBook Packages: Springer Book Archive