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Carolyn E. Phelan
Carolyn E. Phelan
Associate Professor of Computer Science, UCL
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
Fluctuation identities with continuous monitoring and their application to the pricing of barrier options
CE Phelan, D Marazzina, G Fusai, G Germano
European Journal of Operational Research 271 (1), 210-223, 2018
472018
Hilbert transform, spectral filters and option pricing
CE Phelan, D Marazzina, G Fusai, G Germano
Annals of Operations Research 282 (1), 273-298, 2019
422019
Market structure dynamics during COVID-19 outbreak
PF Procacci, CE Phelan, T Aste
arXiv preprint arXiv:2003.10922, 2020
132020
Pricing methods for α-quantile and perpetual early exercise options based on Spitzer identities
CE Phelan, D Marazzina, G Germano
Quantitative Finance 20 (6), 899-918, 2020
112020
Physics-Informed Neural Networks for Derivative-Constrained PDEs
K Hoshisashi, CE Phelan, P Barucca
ICML 2024 AI for Science Workshop, 2024
62024
No-Arbitrage Deep Calibration for Volatility Smile and Skewness
K Hoshisashi, CE Phelan, P Barucca
arXiv preprint arXiv:2310.16703, 2023
62023
Solution of Wiener-Hopf and Fredholm integral equations by fast Hilbert and Fourier transforms
G Germano, CE Phelan, D Marazzina, G Fusai
IMA Journal of Applied Mathematics, hxaf021, 2025
4*2025
Whack-a-mole Online Learning: Physics-Informed Neural Network for Intraday Implied Volatility Surface
K Hoshisashi, CE Phelan, P Barucca
Proceedings of the 5th ACM International Conference on AI in Finance, 847-855, 2024
12024
Whack-a-mole Learning: Physics-Informed Deep Calibration for Implied Volatility Surface
K Hoshisashi, CE Phelan, P Barucca
2024 IEEE Symposium on Computational Intelligence for Financial Engineering …, 2024
12024
The structure and impact of fees on investor and manager returns
M Galas, D Brown, J Bryant, L Li, C Phelan, A Rutkowska, P Treleaven
Available at SSRN 4785475, 2024
2024
Fourier transform methods for the pricing of barrier options and other exotic derivatives
CE Phelan
UCL (University College London), 2018
2018
DC-PINNs: Physics-Informed Neural Networks for Solving Derivative-Constrained PDEs
K Hoshisashi, CE Phelan, P Barucca
ORCID: 0000-0001-9215-2586 and Germano, G.(2018). Hilbert transform, spectral filters and option pricing
CE Phelan, D Marazzina, G Fusai
Annals of Operations Research, doi 10, 0
Improvement of numerical option pricing methods based on the Hilbert transform using spectral filtering
CE Phelan, G Germano
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Articles 1–14