Multidimensional Quasi-Monte Carlo Malliavin Greeks
Nicola Cufaro Petroni, Piergiacomo Sabino

TL;DR
This paper introduces an advanced Malliavin calculus-based method for efficiently computing Greeks of complex multidimensional path-dependent options, improving variance reduction and computational cost in Monte Carlo simulations.
Contribution
It extends Malliavin calculus formulas to the multidimensional case, enhancing variance reduction techniques and computational efficiency for option Greeks estimation.
Findings
Improved variance reduction in Greek calculations.
Reduced computational cost for multidimensional options.
Effective application to complex Asian and exotic options.
Abstract
We investigate the use of Malliavin calculus in order to calculate the Greeks of multidimensional complex path-dependent options by simulation. For this purpose, we extend the formulas employed by Montero and Kohatsu-Higa to the multidimensional case. The multidimensional setting shows the convenience of the Malliavin Calculus approach over different techniques that have been previously proposed. Indeed, these techniques may be computationally expensive and do not provide flexibility for variance reduction. In contrast, the Malliavin approach exhibits a higher flexibility by providing a class of functions that return the same expected value (the Greek) with different accuracies. This versatility for variance reduction is not possible without the use of the generalized integral by part formula of Malliavin Calculus. In the multidimensional context, we find convenient formulas that permit…
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling
