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Sergei Kucherenko

Imperial College London - Faculty of Engineering

United Kingdom

SCHOLARLY PAPERS

9

DOWNLOADS

2,022

TOTAL CITATIONS

4

Scholarly Papers (9)

1.

Quasi-Monte Carlo Methods for Calculating Derivatives Sensitivities on the GPU

Number of pages: 26 Posted: 28 Sep 2022
Paul Alexander Bilokon, Sergei Kucherenko and Casey Williams
Imperial College London - Department of Mathematics, Imperial College London - Faculty of Engineering and Imperial College London - Department of Computing
Downloads 593 (113,998)

Abstract:

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Monte Carlo, Quasi-Monte-Carlo, option pricing, derivative pricing, GPU computing, GPGPU, CUDA

2.

Pricing and Risk Management with High-Dimensional Quasi Monte Carlo and Global Sensitivity Analysis

Wilmott, volume 2015, issue 78, July 2015, pages 46-70, https://doi.org/10.1002/wilm.10434
Number of pages: 43 Posted: 11 Apr 2015 Last Revised: 06 Dec 2022
Marco Bianchetti, Sergei Kucherenko and Stefano Scoleri
Intesa Sanpaolo SpA, Imperial College London - Faculty of Engineering and Intesa SanPaolo SpA - IMI Corporate & Investment Banking
Downloads 547 (125,837)
Citation 1

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derivative, option, European, Asian, barrier, knock-out, cliquet, greeks, Brownian bridge, global sensitivity analysis, Monte Carlo, Quasi Monte Carlo, random, pseudo random, quasi random, low discrepancy, Sobol', convergence, speed-up

3.

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

Wilmott, volume 2021, issue 116, November 2021, pages 66-83, https://doi.org/10.1002/wilm.10972
Number of pages: 47 Posted: 06 Feb 2017 Last Revised: 15 Mar 2025
Stefano Scoleri, Marco Bianchetti and Sergei Kucherenko
Intesa SanPaolo SpA - IMI Corporate & Investment Banking, Intesa Sanpaolo SpA and Imperial College London - Faculty of Engineering
Downloads 513 (136,272)
Citation 3

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derivative, option, European, Asian, barrier, knock-out, cliquet, greeks, Monte Carlo, Quasi Monte Carlo, random, pseudo random, quasi random, low discrepancy, Sobol', convergence, speed-up, Brownian bridge, global sensitivity analysis, principal component analysis, AAD

4.

Effective Dimensionality Reduction for Greeks Computation Using Randomized QMC

Wilmott, volume 2025, issue 137, 2025[10.54946/wilm.12142]
Number of pages: 28 Posted: 04 Dec 2024 Last Revised: 01 Nov 2025
Luca Albieri, Sergei Kucherenko and Marco Bianchetti
DXT Commodities SA, Imperial College London - Faculty of Engineering and Intesa Sanpaolo SpA
Downloads 155 (480,208)

Abstract:

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Greeks, financial risk management, Global sensitivity analysis, Quasi Monte Carlo, randomized Quasi Monte Carlo, Chebychev interpolation, effective dimensions JEL classification: C63, G12, G13

5.

R-Function Regularization of Discontinuous Financial Payoffs

Number of pages: 22 Posted: 24 May 2026
Sergei Kucherenko and J Hok
Imperial College London - Faculty of Engineering and Investec Bank
Downloads 57 (1,097,529)

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R-Functions, Discontinuous Payoffs, Greeks, Randomised Quasi Monte Carlo

6.

Analytical Identification of Process Design Spaces Using R-Functions

Number of pages: 23 Posted: 04 Dec 2024 Last Revised: 10 Apr 2025
Sergei Kucherenko, Nilay Shah and Oleksiy V. Klymenko
Imperial College London - Faculty of Engineering, Imperial College London and University of Surrey
Downloads 47 (1,097,529)

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Design Space, R-functions, Multivariate Polynomial Model, Pharmaceutical Manufacturing

7.

Design Space Identification of a Coupled Two-Stage Batch Reactor System

Number of pages: 19 Posted: 26 Jan 2024 Last Revised: 04 Nov 2024
Sergei Kucherenko, Nannapat Sopittakamol and Nilay Shah
Imperial College London - Faculty of Engineering, Imperial College London and Imperial College London
Downloads 42 (1,157,785)

Abstract:

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Design Space, Probability map, Multi stage systems

8.

Identification of Feasible Regions Using R-Functions

Number of pages: 33 Posted: 22 Mar 2025 Last Revised: 11 Sep 2025
Sergei Kucherenko, Nilay Shah and Oleksiy V. Klymenko
Imperial College London - Faculty of Engineering, Imperial College London and University of Surrey
Downloads 36 (1,236,159)

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Flexibility analysis, Design Space, R-functions, Pharmaceutical Manufacturing

9.

Comparative Analysis of Pseudo-Random and Low-Discrepancy Number Generators: Implications for Normality and Value-at-Risk Estimation in Investment Portfolios

Wilmott magazine
Number of pages: 50 Posted: 25 Feb 2026
Sebastian Schulze, Sergei Kucherenko and Emanouil Atanassov
Union Investment Institutional GmbH, Imperial College London - Faculty of Engineering and Institute of Information and Communication Technologies - Bulgarian Academy of Sciences
Downloads 32 (1,304,549)

Abstract:

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