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Denoised Monte Carlo for option pricing and Greeks estimation

Andrzej Daniluk, Evgeny Lakshtanov and Rafal Muchorski

Papers from arXiv.org

Abstract: We present a novel technique of Monte Carlo error reduction that finds direct application in option pricing and Greeks estimation. The method is applicable to any LSV modelling framework and concerns a broad class of payoffs, including path-dependent and multi-asset cases. Most importantly, it allows to reduce the Monte Carlo error even by an order of magnitude, which is shown in several numerical examples.

Date: 2024-02
New Economics Papers: this item is included in nep-cmp
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