Cubature on Wiener space: pathwise convergence
Christian Bayer, Peter K. Friz

TL;DR
This paper introduces a pathwise convergence analysis for cubature on Wiener space, enhancing the understanding of its application to path-dependent option pricing using rough path theory.
Contribution
It provides a novel pathwise convergence framework for cubature methods on Wiener space, extending their applicability to path-dependent options via rough path analysis.
Findings
Establishes weak convergence for path-dependent option prices
Provides a new interpretation of cubature as a random walk
Extends cubature methods to more general functionals
Abstract
Cubature on Wiener space [Lyons, T.; Victoir, N.; Proc. R. Soc. Lond. A 8 January 2004 vol. 460 no. 2041 169-198] provides a powerful alternative to Monte Carlo simulation for the integration of certain functionals on Wiener space. More specifically, and in the language of mathematical finance, cubature allows for fast computation of European option prices in generic diffusion models. We give a random walk interpretation of cubature and similar (e.g. the Ninomiya--Victoir) weak approximation schemes. By using rough path analysis, we are able to establish weak convergence for general path-dependent option prices.
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Taxonomy
TopicsStochastic processes and financial applications · Mathematical Approximation and Integration · Markov Chains and Monte Carlo Methods
