Gaussian K-scheme: justification for KLNV method
DOI10.1007/978-4-431-54324-4_3zbMath1354.91168OpenAlexW105597629MaRDI QIDQ2957760
Publication date: 30 January 2017
Published in: Advances in Mathematical Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-4-431-54324-4_3
Numerical methods (including Monte Carlo methods) (91G60) Monte Carlo methods (65C05) Stopping times; optimal stopping problems; gambling theory (60G40) Derivative securities (option pricing, hedging, etc.) (91G20) Stochastic calculus of variations and the Malliavin calculus (60H07) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35)
Related Items (8)
Cites Work
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- A new higher-order weak approximation scheme for stochastic differential equations and the Runge-Kutta method
- Cubature on Wiener space
- Weak Approximation of Stochastic Differential Equations and Application to Derivative Pricing
- The partial malliavin calculus and its application to non-linear filtering
- Approximation of expectation of diffusion processes based on Lie algebra and Malliavin calculus
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