NANAJun 23, 2017

Quasi-Monte Carlo for discontinuous integrands with singularities along the boundary of the unit cube

arXiv:1702.033617 citations
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Provides theoretical error bounds for QMC in financial derivative pricing, where discontinuities and singularities are common.

This paper improves the error rate for randomized quasi-Monte Carlo integration of discontinuous integrands with boundary singularities from o(n^{-1/2}) to O(n^{-1/2-1/(4d-2)+ε}), with better rates when discontinuities are axis-aligned, and O(n^{-1+ε}) for QMC-friendly discontinuities.

This paper studies randomized quasi-Monte Carlo (QMC) sampling for discontinuous integrands having singularities along the boundary of the unit cube $[0,1]^d$. Both discontinuities and singularities are extremely common in the pricing and hedging of financial derivatives and have a tremendous impact on the accuracy of QMC. It was previously known that the root mean square error of randomized QMC is only $o(n^{-1/2})$ for discontinuous functions with singularities. We find that under some mild conditions, randomized QMC yields an expected error of $O(n^{-1/2-1/(4d-2)+ε})$ for arbitrarily small $ε>0$. Moreover, one can get a better rate if the boundary of discontinuities is parallel to some coordinate axes. As a by-product, we find that the expected error rate attains $O(n^{-1+ε})$ if the discontinuities are QMC-friendly, in the sense that all the discontinuity boundaries are parallel to coordinate axes. The results can be used to assess the QMC accuracy for some typical problems from financial engineering.

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