Implicit numerical simulation of stochastic differential equations with jumps

Implicit numerical methods such as the stochastic theta-method offer a practical way to approximate solutions of stochastic differential equations. The method involves a parameter, θ, which is freely chosen. In this thesis, we investigate strong convergence and linear stability, both mean-square and...

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Main Author: Chalmers, Graeme D.
Published: University of Strathclyde 2008
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501657
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5016572015-03-20T05:31:01ZImplicit numerical simulation of stochastic differential equations with jumpsChalmers, Graeme D.2008Implicit numerical methods such as the stochastic theta-method offer a practical way to approximate solutions of stochastic differential equations. The method involves a parameter, θ, which is freely chosen. In this thesis, we investigate strong convergence and linear stability, both mean-square and asymptotic, arising from the implementation of the theta-method when applied to ordinary stochastic differential equations incoroporating jumps. Such models are used in several disciplines; in particular, we note their use as models for various financial quantities such as asset prices, interest rates and volatility.519.22University of Strathclydehttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501657Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 519.22
spellingShingle 519.22
Chalmers, Graeme D.
Implicit numerical simulation of stochastic differential equations with jumps
description Implicit numerical methods such as the stochastic theta-method offer a practical way to approximate solutions of stochastic differential equations. The method involves a parameter, θ, which is freely chosen. In this thesis, we investigate strong convergence and linear stability, both mean-square and asymptotic, arising from the implementation of the theta-method when applied to ordinary stochastic differential equations incoroporating jumps. Such models are used in several disciplines; in particular, we note their use as models for various financial quantities such as asset prices, interest rates and volatility.
author Chalmers, Graeme D.
author_facet Chalmers, Graeme D.
author_sort Chalmers, Graeme D.
title Implicit numerical simulation of stochastic differential equations with jumps
title_short Implicit numerical simulation of stochastic differential equations with jumps
title_full Implicit numerical simulation of stochastic differential equations with jumps
title_fullStr Implicit numerical simulation of stochastic differential equations with jumps
title_full_unstemmed Implicit numerical simulation of stochastic differential equations with jumps
title_sort implicit numerical simulation of stochastic differential equations with jumps
publisher University of Strathclyde
publishDate 2008
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501657
work_keys_str_mv AT chalmersgraemed implicitnumericalsimulationofstochasticdifferentialequationswithjumps
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