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Stochastic Analysis with Financial ApplicationsA Review of Recent Results on Approximation of Solutions of Stochastic Differential Equations

Stochastic Analysis with Financial Applications: A Review of Recent Results on Approximation of... [In this article, we give a brief review of some recent results concerning the study of the Euler-Maruyama scheme and its high-order extensions. These numerical schemes are used to approximate solutions of stochastic differential equations, which enables to approximate various important quantities including solutions of partial differential equations. Some have been implemented in Premia [56]. In this article we mainly consider results about weak approximation, the most important for financial applications.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Stochastic Analysis with Financial ApplicationsA Review of Recent Results on Approximation of Solutions of Stochastic Differential Equations

Part of the Progress in Probability Book Series (volume 65)
Editors: Kohatsu-Higa, Arturo; Privault, Nicolas; Sheu, Shuenn-Jyi

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References (58)

Publisher
Springer Basel
Copyright
© Springer Basel AG 2011
ISBN
978-3-0348-0096-9
Pages
121 –144
DOI
10.1007/978-3-0348-0097-6_9
Publisher site
See Chapter on Publisher Site

Abstract

[In this article, we give a brief review of some recent results concerning the study of the Euler-Maruyama scheme and its high-order extensions. These numerical schemes are used to approximate solutions of stochastic differential equations, which enables to approximate various important quantities including solutions of partial differential equations. Some have been implemented in Premia [56]. In this article we mainly consider results about weak approximation, the most important for financial applications.]

Published: Jul 12, 2011

Keywords: Euler-Maruyama scheme; Kusuoka scheme; Milshtein scheme; weak approximations; stochastic equations.

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