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20152026
most citedExploring multi-dimensional spaces: a Comparison of Latin Hypercube and Quasi Monte Carlo Sampling Techniques

118 citations · 169 across the 13 of their papers we have counts for

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Showing q-fin.CPShow all

5 papers · 1 filter

q-fin.CP2026★ 2 cited

Application of Quasi Monte Carlo and Global Sensitivity Analysis to Option Pricing and Greeks

Stefano Scoleri, Marco Bianchetti, Sergei Kucherenko

Quasi Monte Carlo (QMC) and Global Sensitivity Analysis (GSA) techniques are applied for pricing and hedging representative financial instruments of increasing complexity. We compa…

q-fin.CP2025

Effective dimensionality reduction for Greeks computation using Randomized QMC

Luca Albieri, Sergei Kucherenko, Stefano Scoleri +1

Global sensitivity analysis is employed to evaluate the effective dimension reduction achieved through Chebyshev interpolation and the conditional pathwise method for Greek estimat…

q-fin.CP2022

The importance of being scrambled: supercharged Quasi Monte Carlo

J. Hok, S. Kucherenko

In many financial applications Quasi Monte Carlo (QMC) based on Sobol low-discrepancy sequences (LDS) outperforms Monte Carlo showing faster and more stable convergence. However, u…

q-fin.CP2022★ 1 cited

Quasi-Monte Carlo methods for calculating derivatives sensitivities on the GPU

Paul Bilokon, Sergei Kucherenko, Casey Williams

The calculation of option Greeks is vital for risk management. Traditional pathwise and finite-difference methods work poorly for higher-order Greeks and options with discontinuous…

q-fin.CP2021

Pricing and Risk Analysis in Hyperbolic Local Volatility Model with Quasi Monte Carlo

Julien Hok, Sergei Kucherenko

Local volatility models usually capture the surface of implied volatilities more accurately than other approaches, such as stochastic volatility models. We present the results of a…