Automatic Control Variates for Option Pricing using Neural Networks
Author
Abstract
Suggested Citation
DOI: 10.1515/mcma-2020-2081
Note: View the original document on HAL open archive server: https://hal.univ-grenoble-alpes.fr/hal-02891798
Download full text from publisher
References listed on IDEAS
- Ahmed Kebaier & Jérôme Lelong, 2018. "Coupling Importance Sampling and Multilevel Monte Carlo using Sample Average Approximation," Post-Print hal-01214840, HAL.
- P. Pellizzari, 2001. "Efficient Monte Carlo pricing of European options¶using mean value control variates," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 24(2), pages 107-126, November.
- Ahmed Kebaier & Jérôme Lelong, 2018. "Coupling Importance Sampling and Multilevel Monte Carlo using Sample Average Approximation," Methodology and Computing in Applied Probability, Springer, vol. 20(2), pages 611-641, June.
- Portier, Francois & Segers, Johan, 2019. "Monte Carlo integration with a growing number of control variates," LIDAM Reprints ISBA 2019035, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Sujin Kim & Shane G. Henderson, 2007. "Adaptive Control Variates for Finite-Horizon Simulation," Mathematics of Operations Research, INFORMS, vol. 32(3), pages 508-527, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Jérôme Lelong & Zineb El Filali Ech-Chafiq & Adil Reghai, 2020. "Automatic Control Variates for Option Pricing using Neural Networks," Working Papers hal-02891798, HAL.
- Mouna Ben Derouich & Ahmed Kebaier, 2022. "Interpolated Drift Implicit Euler MLMC Method for Barrier Option Pricing and application to CIR and CEV Models," Papers 2210.00779, arXiv.org, revised Sep 2024.
- Devang Sinha & Siddhartha P. Chakrabarty, 2022. "Multilevel Richardson-Romberg and Importance Sampling in Derivative Pricing," Papers 2209.00821, arXiv.org.
- Kahalé, Nabil, 2020. "General multilevel Monte Carlo methods for pricing discretely monitored Asian options," European Journal of Operational Research, Elsevier, vol. 287(2), pages 739-748.
- Devang Sinha & Siddhartha P. Chakrabarty, 2022. "Multilevel Monte Carlo and its Applications in Financial Engineering," Papers 2209.14549, arXiv.org.
- Ng, Andrew C.Y. & Li, Johnny Siu-Hang & Chan, Wai-Sum, 2013. "Pricing options on stocks denominated in different currencies: Theory and illustrations," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 339-354.
- Leccadito, Arturo & Paletta, Tommaso & Tunaru, Radu, 2016. "Pricing and hedging basket options with exact moment matching," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 59-69.
- Dingeç, Kemal Dinçer & Hörmann, Wolfgang, 2013. "Control variates and conditional Monte Carlo for basket and Asian options," Insurance: Mathematics and Economics, Elsevier, vol. 52(3), pages 421-434.
- Hörmann, Wolfgang & Sak, Halis, 2010. "t-Copula generation for control variates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(4), pages 782-790.
- Leluc, Rémi & Portier, François & Zhuman, Aigerim & Segers, Johan, 2023. "Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence," LIDAM Discussion Papers ISBA 2023019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Leluc, Rémi & Portier, François & Segers, Johan & Zhuman, Aigerim, 2022. "A Quadrature Rule combining Control Variates and Adaptive Importance Sampling," LIDAM Discussion Papers ISBA 2022018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Plassier, Vincent & Portier, François & Segers, Johan, 2020. "Risk bounds when learning infinitely many response functions by ordinary linear regression," LIDAM Discussion Papers ISBA 2020019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Pellizzari, P., 2005.
"Static hedging of multivariate derivatives by simulation,"
European Journal of Operational Research, Elsevier, vol. 166(2), pages 507-519, October.
- Paolo Pellizzari, 2003. "Static Hedging of Multivariate Derivatives by Simulation," Finance 0311013, University Library of Munich, Germany, revised 04 Dec 2003.
- Leluc, Rémi & Dieuleveut, Aymeric & Portier, François & Segers, Johan & Zhuman, Aigerim, 2024. "Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates," LIDAM Discussion Papers ISBA 2024003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Devang Sinha & Siddhartha P. Chakrabarty, 2024. "Multilevel Monte Carlo in Sample Average Approximation: Convergence, Complexity and Application," Papers 2407.18504, arXiv.org.
- Lapeyre Bernard & Lelong Jérôme, 2011. "A framework for adaptive Monte Carlo procedures," Monte Carlo Methods and Applications, De Gruyter, vol. 17(1), pages 77-98, January.
- Bernard Lapeyre & J'er^ome Lelong, 2010. "A framework for adaptive Monte-Carlo procedures," Papers 1001.3551, arXiv.org, revised Jul 2010.
- Jinke Zhou & Xiaolu Wang, 2008. "Accurate closed‐form approximation for pricing Asian and basket options," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(4), pages 343-358, July.
- Georges Dionne & Genevieve Gauthier & Nadia Ouertani & Nabil Tahani, 2011.
"Heterogeneous Basket Options Pricing Using Analytical Approximations,"
Multinational Finance Journal, Multinational Finance Journal, vol. 15(1-2), pages 47-85, March - J.
- Dionne, Georges & Gauthier, Geneviève & Ouertani, Nadia & Tahani, Nabil, 2006. "Heterogeneous basket options pricing using analytical approximations," Working Papers 06-1, HEC Montreal, Canada Research Chair in Risk Management.
- Georges Dionne & Geneviève Gauthier & Nadia Ouertani & Nabil Tahani, 2006. "Heterogeneous Basket Options Pricing Using Analytical Approximations," Cahiers de recherche 0605, CIRPEE.
- Richard A. Davis & Thiago do Rêgo Sousa & Claudia Klüppelberg, 2021. "Indirect inference for time series using the empirical characteristic function and control variates," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(5-6), pages 653-684, September.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2021-02-15 (Computational Economics)
- NEP-CWA-2021-02-15 (Central and Western Asia)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-02891798. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.