Multilevel Monte Carlo path simulation
We show that multigrid ideas can be used to reduce the computational complexity of estimating an expected value arising from a stochastic differential equation using Monte Carlo path simulations. In the simplest case of a Lipschitz payoff and a Euler discretisation, the computational cost to achieve...
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Format: | Journal article |
Language: | English |
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2008
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author | Giles, M |
author_facet | Giles, M |
author_sort | Giles, M |
collection | OXFORD |
description | We show that multigrid ideas can be used to reduce the computational complexity of estimating an expected value arising from a stochastic differential equation using Monte Carlo path simulations. In the simplest case of a Lipschitz payoff and a Euler discretisation, the computational cost to achieve an accuracy of O(ε) is reduced from O(ε-3) to O(ε-2(logε)2). The analysis is supported, by numerical results showing significant computational savings. © 2008 INFORMS. |
first_indexed | 2024-03-06T18:34:09Z |
format | Journal article |
id | oxford-uuid:0aa80ab7-9406-4778-8f1a-cdafc9c1ed9b |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-06T18:34:09Z |
publishDate | 2008 |
record_format | dspace |
spelling | oxford-uuid:0aa80ab7-9406-4778-8f1a-cdafc9c1ed9b2022-03-26T09:25:00ZMultilevel Monte Carlo path simulationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:0aa80ab7-9406-4778-8f1a-cdafc9c1ed9bEnglishSymplectic Elements at Oxford2008Giles, MWe show that multigrid ideas can be used to reduce the computational complexity of estimating an expected value arising from a stochastic differential equation using Monte Carlo path simulations. In the simplest case of a Lipschitz payoff and a Euler discretisation, the computational cost to achieve an accuracy of O(ε) is reduced from O(ε-3) to O(ε-2(logε)2). The analysis is supported, by numerical results showing significant computational savings. © 2008 INFORMS. |
spellingShingle | Giles, M Multilevel Monte Carlo path simulation |
title | Multilevel Monte Carlo path simulation |
title_full | Multilevel Monte Carlo path simulation |
title_fullStr | Multilevel Monte Carlo path simulation |
title_full_unstemmed | Multilevel Monte Carlo path simulation |
title_short | Multilevel Monte Carlo path simulation |
title_sort | multilevel monte carlo path simulation |
work_keys_str_mv | AT gilesm multilevelmontecarlopathsimulation |