Pollock, Murray (2013) Some Monte Carlo methods for jump diffusions. PhD thesis, University of Warwick.

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Abstract

In this thesis we develop computationally efficient methods to simulate finite dimensional representations of (jump) diffusion and (jump) diffusion bridge sample paths over finite intervals, without discretisation error (exactly), in such a way that the sample path can be restored at any desired finite collection of time points. Furthermore, we extend methodology for particle filters to the setting in which the transition density of the latent process is governed by a jump diffusion. Finally, we present methodology which allows the simulation of upper and lower bounding processes which almost surely constrain (jump) diffusion and (jump) diffusion bridge sample paths to any specified tolerance. We demonstrate the efficacy of our approach by showing that with finite computation it is possible to determine whether or not sample paths cross various irregular barriers, simulate to any specified tolerance the first hitting time of the irregular barrier, and simulate killed diffusion sample paths.

Item Type:	Thesis or Dissertation (PhD)
Subjects:	Q Science > QA Mathematics
Library of Congress Subject Headings (LCSH):	Monte Carlo method, Stochastic processes, Jump processes, Diffusion processes
Official Date:	September 2013
Dates:	Date Event September 2013 Submitted
Institution:	University of Warwick
Theses Department:	Department of Statistics
Thesis Type:	PhD
Publication Status:	Unpublished
Supervisor(s)/Advisor:	Johansen, Adam M.; Roberts, Gareth O.
Sponsors:	Engineering and Physical Sciences Research Council (EPSRC) (EP/P50516X/1, EP/D002060/1); University of Warwick
Extent:	xxii, 263 leaves : charts
Language:	eng

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