Álvaro Leitao

Orcid: 0000-0002-3442-4587

According to our database1, Álvaro Leitao authored at least 19 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Quantum computing for multidimensional option pricing: End-to-end pipeline.
CoRR, January, 2026

On deep learning for computing the dynamic initial margin and margin value adjustment.
Appl. Math. Comput., 2026

2025
Parametric Numerical Integration with (Differential) Machine Learning.
CoRR, December, 2025

Deep joint learning valuation of Bermudan swaptions.
Int. J. Comput. Math., 2025

2024
Efficient parallel Monte-Carlo techniques for pricing American options including counterparty credit risk.
Int. J. Comput. Math., 2024

Corrigendum to "article: A stochastic theta-SEIHRD model: adding randomness to covid-19 spread, " [Communications in Nonlinear Science and Numerical Simulation, 115 (2022), 106731].
Commun. Nonlinear Sci. Numer. Simul., 2024

2023
Boundary-safe PINNs extension: Application to non-linear parabolic PDEs in counterparty credit risk.
J. Comput. Appl. Math., June, 2023

2022
The stochastic θ-SEIHRD model: Adding randomness to the COVID-19 spread.
Commun. Nonlinear Sci. Numer. Simul., 2022

Boundary-safe PINNs extension.
Proceedings of V XoveTIC Conference, 2022

2021
Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method.
Comput. Stat. Data Anal., 2021

2020
On Calibration Neural Networks for extracting implied information from American options.
CoRR, 2020

Model-free computation of risk contributions in credit portfolios.
Appl. Math. Comput., 2020

2019
<i>Rolling Adjoints</i>: Fast Greeks along Monte Carlo scenarios for early-exercise options.
J. Comput. Sci., 2019

BENCHOP - SLV: the BENCHmarking project in Option Pricing - Stochastic and Local Volatility problems.
Int. J. Comput. Math., 2019

2018
SWIFT valuation of discretely monitored arithmetic Asian options.
J. Comput. Sci., 2018

On the data-driven COS method.
Appl. Math. Comput., 2018

2017
On a one time-step Monte Carlo simulation approach of the SABR model: Application to European options.
Appl. Math. Comput., 2017

2015
GPU acceleration of the stochastic grid bundling method for early-exercise options.
Int. J. Comput. Math., 2015

2013
Static and dynamic SABR stochastic volatility models: Calibration and option pricing using GPUs.
Math. Comput. Simul., 2013


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