Convergence analysis of Crank-Nicolson and Rannacher time-marching

This paper presents a convergence analysis of Crank-Nicolson and Rannacher time-marching methods which are often used in finite difference discretisations of the Black-Scholes equations. Particular attention is paid to the important role of Rannacher's startup procedure, in which one or more in...

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المؤلفون الرئيسيون: Giles, M, Carter, R
التنسيق: Report
منشور في: Unspecified 2005
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author Giles, M
Carter, R
author_facet Giles, M
Carter, R
author_sort Giles, M
collection OXFORD
description This paper presents a convergence analysis of Crank-Nicolson and Rannacher time-marching methods which are often used in finite difference discretisations of the Black-Scholes equations. Particular attention is paid to the important role of Rannacher's startup procedure, in which one or more initial timesteps use Backward Euler timestepping, to achieve second order convergence for approximations of the first and second derivatives. Numerical results confirm the sharpness of the error analysis which is based on asymptotic analysis of the behaviour of the Fourier transform. The relevance to Black-Scholes applications is discussed in detail, with numerical results supporting recommendations on how to maximise the accuracy for a given computational cost.
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spelling oxford-uuid:e17ca056-6f7b-4e71-b4cd-a784805f4cf92022-03-27T09:54:49ZConvergence analysis of Crank-Nicolson and Rannacher time-marchingReporthttp://purl.org/coar/resource_type/c_93fcuuid:e17ca056-6f7b-4e71-b4cd-a784805f4cf9Mathematical Institute - ePrintsUnspecified2005Giles, MCarter, RThis paper presents a convergence analysis of Crank-Nicolson and Rannacher time-marching methods which are often used in finite difference discretisations of the Black-Scholes equations. Particular attention is paid to the important role of Rannacher's startup procedure, in which one or more initial timesteps use Backward Euler timestepping, to achieve second order convergence for approximations of the first and second derivatives. Numerical results confirm the sharpness of the error analysis which is based on asymptotic analysis of the behaviour of the Fourier transform. The relevance to Black-Scholes applications is discussed in detail, with numerical results supporting recommendations on how to maximise the accuracy for a given computational cost.
spellingShingle Giles, M
Carter, R
Convergence analysis of Crank-Nicolson and Rannacher time-marching
title Convergence analysis of Crank-Nicolson and Rannacher time-marching
title_full Convergence analysis of Crank-Nicolson and Rannacher time-marching
title_fullStr Convergence analysis of Crank-Nicolson and Rannacher time-marching
title_full_unstemmed Convergence analysis of Crank-Nicolson and Rannacher time-marching
title_short Convergence analysis of Crank-Nicolson and Rannacher time-marching
title_sort convergence analysis of crank nicolson and rannacher time marching
work_keys_str_mv AT gilesm convergenceanalysisofcranknicolsonandrannachertimemarching
AT carterr convergenceanalysisofcranknicolsonandrannachertimemarching